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Job DescriptionCompany Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/. Account Manager, Communities Company Overview ID.me is a high-growth enterprise software company that simplifies how people prove and share their identity online. The company empowers people to control their data through a portable and trusted login, which means they don't need to create a new password when visiting sites that have the ID.me button. ID.me's digital identity network has over 117 million registered members, and is used by fourteen federal agencies, agencies in 30 states and over 600 corporations for secure identity proofing and verification. Role Overview The Account Manager (AM) is a senior-level, quota-carrying position responsible for the health, retention, and aggressive expansion of our most critical commercial and eRetailing accounts. You are the "CEO" of your assigned book of business within the Communities segment (e.g., Military, First Responders, Students, Teachers, Nurses, etc.). Your mission is twofold: ensure 100% net retention through impeccable renewal management and drive year-over-year (YoY) growth by identifying and closing expansion opportunities within existing customer portfolios. Key Responsibilities • Revenue Ownership & Growth, • Quota Attainment: Carry and exceed a formal quota composed of both Renewal Revenue (GRR) and Expansion (NRR) within your assigned commercial accounts., • Land & Expand Strategy: Identify "white space" within current customers to expand Community Verification products, and drive growth via UX changes., • Upsell Execution: Lead the end-to-end sales cycle for expansion opportunities, from initial discovery to contract amendment and closing., • Renewal & Retention Excellence, • Lifecycle Management: Proactively manage the renewal process starting 180 days out, ensuring zero "dark" periods or budget lapses., • Churn Mitigation: Identify "at-risk" accounts early by monitoring usage health, program performance, and organizational changes (e.g., e-commerce leadership turnover or marketing budget shifts)., • Contract Negotiation: Navigate complex commercial procurement hurdles and vendor management processes to secure multi-year renewals and "sticky" master service agreements., • Strategic Account Governance, • Executive Alignment: Maintain and deepen relationships with key decision-makers in the procurement process , specifically targeting e-commerce, MarTech, and performance marketing personas to ensure our solution remains a top-tier budget priority., • Executive Business Reviews (EBRs): Lead high-impact EBRs that translate technical performance data into customer acquisition ROI, conversion rate optimization, and overall business objectives., • Voice of the Customer: Act as a strategic liaison between commercial clients and our Product team, providing feedback to product development teams to influence the roadmap based on retail-specific needs. Qualifications • Experience & Expertise, • The Commercial Tech Veteran: 5+ years of experience in a quota-carrying account management, customer success, or "hunter" sales role., • Industry Knowledge: Deep knowledge of e-commerce, MarTech, and performance marketing personas and budgets , with a preference for experience working with customers in apparel, consumer electronics, home goods, and/or sports and outdoors segments., • Quota Performance: A year-over-year track record of achieving quota, hitting retention targets, and being recognized as a top performer., • Deal Complexity: Experience managing portfolios and closing opportunities with ACVs ranging from $100k to $1m on 6 to 12 month sales cycles., • Skills & Competencies, • Commercial Savvy: Ability to navigate complex retail organizations and holding companies, maintaining account stability during executive transitions., • Analytical Growth Mindset: Skilled at looking at a massive internet retailer and mapping out a multi-year growth plan to capture every available brand and subsidiary., • Collaborative Leadership: Experience working closely with internal teams, including Marketing, Solutions Consulting, and Customer Success, to ensure customer satisfaction and success., • Startup Agility: Comfortable working for a team in a startup at a growth stage ; you possess an entrepreneurial personality capable of effectively solving problems with minimal guidance., • Consultative Problem Solving: Superb planning and time management skills with the ability to understand customer pains and provide effective solutions to meet their business objectives. Key Performance Indicators (KPIs) • Gross Retention Rate (GRR): Ensuring existing contracts renew on time., • Net Revenue Retention (NRR): Growth of the account via upsells and cross-sells., • Pipeline Velocity: Speed at which expansion opportunities move through the commercial procurement funnel. Our Core Values • Don't be a jerk., • Always compete., • Ask questions like a 5-year old., • Inspire people with your passion., • Make something better every day., • Treat each customer like your favorite family member., • Own your mistakes so you can learn from them., • Details are everything., • Act like a scientist, not a talking head., • Be truthful (even when it's hard)., • Reflect ID.me's values in your actions., • If the rule prevents the right outcome, then break the rule. ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. The above represents the anticipated total rewards package for this job requisition. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. Mountain View, CA Pay Range$131,400—$147,780 USD ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings. ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. ID.me participates in E-Verify.

Job Description AssistRx is a specialty pharmacy hub services company that manages therapy initiation and patient access programs for pharmaceutical manufacturers. The company’s flagship platform, iAssist, integrates at the point of prescribing and connects patients, providers, payors, and manufacturers across complex specialty therapy programs. Welsh, Carson, Anderson & Stowe acquired AssistRx in February 2024, and the company has grown significantly, supporting a broad portfolio of programs across therapeutic areas including oncology, immunology, rare disease, and obesity. Requirements POSITION SUMMARY The Data Scientist, ITA will be a primary analytical contributor within a small, high-performance team. Working directly alongside the Director / VP and two peer Data Scientists, this individual will own the design and execution of analytical models, generate program insights across key KPI families, and help build the client-facing outputs — pilot QBR materials, trend narratives, analytical summaries, prototype of insight-focused dashboarding — that define the ITA value proposition. The role requires a combination of technical depth in SQL and Python, working familiarity with statistical methods applicable to program performance analysis, and an orientation toward clear, audience-appropriate communication. Experience in pharma, pharma consulting, at a health insurer, or at a PBM is required: this work depends on understanding how specialty programs function, how manufacturers define success, and how data from hub operations connects to the broader access and reimbursement landscape. KEY RESPONSIBILITIES Analytical Execution · Design and execute ad hoc and recurring analyses for ITA client engagements, covering six defined families of KPIs · Build and maintain analytical models within the six KPI families — from patient outcomes through data quality — ensuring consistent definitions, reproducible methodology, and appropriate statistical rigor · Develop cohort analyses, funnel decompositions, survival curves, regression models, and distribution-based performance metrics that surface actionable insights within program data · Identify trends, anomalies, and comparative performance differentials across programs, payors, geographies, and time periods; frame findings as hypotheses with supporting evidence Client-Facing Output Development · Contribute to quarterly business review (QBR) preparation, including data pulls, visualization development, and narrative drafting under the direction of the Director / VP · Produce clean, client-ready analytical exhibits — charts, tables, and written summaries — formatted for manufacturer audiences including market access leadership and patient services teams · Participate in select client meetings as a technical resource; communicate methodology and findings clearly to non-technical stakeholders Productization & Documentation · Define analytical specifications and prototype outputs for validated insights; partner with the dedicated BI and report development team to translate ITA analytical work into productized ThoughtSpot and Power BI dashboards — ITA owns the logic, acceptance criteria, and narrative framing; the report development team handles production build · Maintain clear documentation of analytical methodologies, data transformations, and code to support reproducibility and team knowledge management · Surface upstream data quality issues that affect insight reliability; partner with data governance teams on remediation Continuous Improvement · Contribute to the evolution of the ITA analytical framework as new client engagements reveal novel questions and additional KPI families emerge · Stay current on emerging methods in healthcare analytics, specialty pharmacy data, and applied machine learning relevant to program performance and patient journey analysis REQUIRED QUALIFICATIONS · Approximately 5 years of experience in healthcare analytics, with direct experience in one or more of the following: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM) · Strong proficiency in SQL; experience querying and manipulating data in cloud data warehouse environments (Snowflake preferred) · Python or R required; Python preferred (pandas, numpy, scipy, and scikit-learn) · Working knowledge of statistical methods applicable to program performance analysis: cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based metrics, and experimental design and A/B testing frameworks · Experience producing structured, audience-ready analytical outputs — not just raw analyses; strong attention to how findings are communicated, not just computed · Clear, organized written and verbal communication skills; ability to explain quantitative findings in plain language · Bachelor's degree in a quantitative field (statistics, mathematics, data science, computer science, economics, or related); advanced degree a plus Benefits • Supportive, progressive, fast-paced environment, • Competitive pay structure, • Matching 401(k) with immediate vesting, • Medical, dental, vision, life, & short-term disability insurance, • Opportunity to impact patient outcomes through data-driven healthcare technology., • Collaborative and mission-driven culture that values innovation and continuous learning., • Access to cutting-edge cloud technologies and modern data engineering tools., • Competitive compensation, comprehensive benefits, and career growth opportunities AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local laws. All offers of employment with AssistRx are conditional based on the successful completion of a pre-employment background check. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Sponsorship and/or work authorization is not available for this position. AssistRx does not accept unsolicited resumes from search firms or any other vendor services. Any unsolicited resumes will be considered property of AssistRx and no fee will be paid in the event of a hire. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ACKNOWLEDGEMENT I have read the foregoing job description and understand the responsibilities of the job. I agree that I am able to perform the essential duties of this position.

Job Description About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As part of the Research, Administration, Operations and Project Management team, you will report to Director, Operations and Project Management. You will support the operational coordination of research and implementation efforts led by the Office of the Chief Scientist. They will support coordination across internal and external teams and contribute to managing complex calendars, coordinating high-impact meetings and project timelines, and ensuring seamless communication across all internal and external teams that interact with the Office of the Chief Scientist. This role requires scientific literacy to draft technical communications, professional judgment and the ability to support executive priorities and special projects with limited oversight. This is a non-exempt, full-time, hybrid position located in our NYC headquarters office. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor The in-office requirement and schedule are subject to change based on the needs of the program and the organization. You Will: Plan and support internal and external meetings, retreats and conferences, including preparing agendas, technical talking points, taking minutes, coordinating logistics (travel, A/V, space reservations etc.), and tracking executive follow-up actions. Act as a point of contact for collaborators, vendors, and institutional partners in a professional and timely manner. Partner with Marketing and Communications to draft research press releases (e.g., Eureka Alerts) and other high-level external communications. Collaborate with the Development team to create and maintain major giving materials and help track partnership deadlines. Manage complex scheduling and strategic calendar coordination for the Chief Science Officer and associated research teams. Support documentation and organization of SOPs, contact lists, templates, and shared resources for the Office of the Chief Scientist. Support coordination of cross-functional projects by tracking deliverables, deadlines, and dependencies across the research portfolio. Contribute to process improvements and operational execution to help support project completion in alignment with organizational policies and procedures. Provide coordination support for special projects and operational initiatives. Other duties as assigned. You Have: Bachelor's degree and 5+ years of relevant professional experience required, or Master's degree and 3+ years of relevant professional experience. Degree in a scientific, research, healthcare, or related field. #LI-on-site, #LI-hybrid. Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Job Description Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family. About the role: Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight. You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, • Own projects end-to-end, including problem definition, implementation, validation, and iteration, • Deliver high-quality analytical and modeling outputs with limited manager oversight, • Collaborate closely with data science peers and cross-functional partners across business units, • Help ensure data science processes and outputs align with broader team strategies and roadmaps, • Provide guidance or informal mentorship to junior data scientists or analysts when needed, • Contribute to improving data science practices, tooling, and documentation Requirements: • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both), • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data, • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: • Master's degree in a quantitative or technical field, • Knowledge of or previous work experience in health care or health insurance, • Experience mentoring or supporting junior team members, • Experience deploying or supporting models in production environments This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Staff Data Scientist, you'll be seen as a tech lead thought leader across company leaders and across Product, Engineering, Design, Operations, and Clinical teams. You will help the company be rigorous and thoughtful on how to best use data and apply statistical methods. You will bring an experienced perspective among the team to help them polish their thinking and ultimately inform their roadmaps, shape their thinking, and drive outcomes. You will be a highly engaged cross-functional partner that is sought out to solve challenges and will be able to bridge the gap between technical and non-technical stakeholders, upleveling those around you. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Partner with Product, Engineering, Design, Clinical, Operations, and Machine Learning teams to turn ambiguous questions into clear analytical recommendations that influence strategy and decision-making., • Build and establish models and analyses using appropriate statistical methods that identify key roadmap items to prioritize across the respective teams., • Regularly influence leaders to accept recommendations and define the metrics that matter which will generate concrete and notable impact to the company's mission., • Partner closely with Analytics and Data Engineering to define key objectives for the team, design and scale repeatable frameworks, and enable broader self-serve use of existing tools & methods while keeping a high bar when it comes to analytical rigor., • Be a causal inference expert with knowledge across several methodologies (e.g. Experimentation, Diff-in-Diff, IV, Propensity Score, etc.) and serve as a key stakeholder in enabling this thinking., • Form and vocalize opinions on how we should do things and gain trust among company leaders as a key partner they should feel empowered to reach out to for brainstorming and new initiatives., • Serve as a tech lead for the Data Science org with strong mentorship of peers. Requirements • 7+ years in data science/analytics roles, at least 3 of those years in a tech lead capacity., • Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders., • Experience with modeling that led to clear and concrete adoption of recommendations and demonstrated visible impact, • Detailed knowledge of causal inference methods including (but not limited to): RCT, Diff-in-Diff, IPW, Propensity Score, Instrumental Variables, Variance Reduction, etc., • Experience with leveraging LLMs on text to generate insights and amplify existing work., • Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement)., • Excellent ability to communicate, collaborate, and influence business partners at all levels, but especially executives and those at Director+ levels., • Bonus: Healthcare Experience, Start-up Experience, • Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes, • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week.Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-hybrid Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Staff Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance. Your work will directly impact our member recommendations and provider-facing data products. You will also be a technical leader, raising the bar for how we conduct analysis, build models, and deploy data science code by improving standards and mentoring team members. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Partner with product managers and clinical experts to lead projects shaping how we define and measure provider cost and quality, • Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors, • Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates, • Serve as a subject matter expert for statistical modeling, improving methods for evaluating current models and future changes, • Partner with data engineers to design scalable data pipelines that ingest, clean, and enrich healthcare provider data, • Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions, • Define data science standards and best practices, and mentor team members to raise the technical capabilities of the data science teamThe ideal candidate has:, • 8+ years professional experience in data science, product analytics, and/or healthcare, • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders, • Strong Python and SQL skills, • Expertise in statistical modeling techniques and a track record of building impactful predictive models, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, • Experience working in a rapidly evolving startup environment., • A desire to be a part of our mission to improve the U.S. healthcare system, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use:, • Python and Jupyter Notebooks, SQL (Snowflake), Argo, DBT, AWS, Terraform This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $263,000 - $300,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com. Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.

Job Description LaBella is currently looking to hire an Environmental Scientist / Geologist / Engineer in our growing, multi-disciplinary, Brooklyn, NY office. LaBella is a 100% employee-owned firm with more than 2,000 professionals in more than 40 offices across 14 states, with additional international offices in the U.K. and Spain. Our growing Brooklyn office has the feel of a boutique consultancy with the resources of a larger- sized firm. This is an opportunity for a smart and talented professional with enormous upside potential as part of a growing company. We are seeking a highly motivated individual with an entrepreneurial spirit to join a dynamic team working on exciting, multi-phase, technically engaging, and impactful projects. The successful candidate will perform field work including groundwater, soil, soil vapor, and surface water sampling, submit samples to a laboratory for analysis, manage and evaluate field and lab data, supervise contractors and drillers, and support the preparation of reports. This individual will assist with Phase I and II Environmental Site Assessments, support environmental investigations and remediation at E-Designation and New York State Brownfield Cleanup Program projects throughout the 5-boroughs and the NYC Metroplitan area, and support project managers on various projects. The ideal candidate will enjoy a mix of office and field time and will have an opportunity to grow as a professional under the tutelage of experienced environmental professions. LaBella offers excellent training and career advancement opportunities and outstanding benefits. Requirements Essential Duties & Responsibilities: • Performing field work within the 5-boroughs and NYC metropolitan area., • Performing soil, soil vapor, and groundwater sampling., • Performing / overseeing field activities and drilling on construction projects., • Performing Phase I inspections., • Collecting, recording, and organizing field data in a concise manner., • Data presentation, map creation, and report preparation., • Preparing deliverables on time and within budget., • Maintaining open communication with project team members., • Preparing work plans and proposals and managing projects in consideration of environmental goals, timelines, resource allocation, and budgetary requirements., • Supporting various environmental projects to ensure their successful planning, implementation, and completion., • Representing the company in a professional manner and in line with firm's core values., • Conducting work to professional standards and following firm's QA/QC policy., • Collaborating with multidisciplinary teams, including environmental specialists, engineers, contractors, and government agencies, to achieve project objectives., • Collecting and analyzing environmental data, preparing reports, and communicating project progress, outcomes, and recommendations to stakeholders and regulatory authorities., • Maintaining accurate project documentation, including environmental assessments, permits, reports, and correspondence, and ensuring compliance with record-keeping requirements. Required Education & Qualifications: B.S. degree in Geology, Environmental Science, or Engineering • 0–3 years of experience in environmental consulting, environmental science, geology, engineering, or a related local environmental position. Entry-level candidates with strong academic, internship, field, GIS, AutoCAD, or technical writing experience will be considered., • 40 Hour OSHA HAZWOPER certification required., • Experience with AutoCAD and / or ArcGIS required., • Possess excellent verbal, written and interpersonal communication skills., • Must be team oriented with strong capability to motivate others., • Must be a highly motivated self-starter., • Ability to work in a fast-paced environmental consulting team environment., • Ability to work within a multi-disciplined group of professionals., • Organized with strong attention to detail, • Possess technical knowledge and experience with NYC E-designations, and brownfield sites within various programs, including the New York City Voluntary Cleanup Program (VCP) and New York State Brownfield Cleanup Program (BCP) as well as Superfund (CERCLA)., • Highly motivated, with excellent client service skills and a positive attitude, • Strong problem-solving skills, • Valid NYS driver’s license, lean driving record, and reliable transportation Preferred Qualifications: M.S. preferred but not required Physical Requirements: · Physical ability to perform outdoor field work. · Must be able to lift up to 25 pounds at a time. Salary Range: $50,000–$72,000, commensurate with experience, technical background, field capabilities, certifications, and demonstrated ability to support field work, data management, mapping, and report preparation. Benefits Body, mind, and wallet—LaBella’s benefits support a holistic approach to your health and wellness, creating the foundation for physical, mental, and financial well-being. Our benefit offerings cover the must-haves (healthcare and retirement), the just-in-cases (insurances and employee assistance programs), and the cherry-on-tops (fitness reimbursements, year-end incentive pay, and tuition assistance). Visit our website for more details on benefits listed below. • Flexible Work Schedule, • Health/Dental Insurance, • 401k Plan with Employer Match, • Paid Parental Leave, • Short & Long Term Disability, • Profit Sharing, • Paid Time Off, • Leadership Development Program, • Fitness Reimbursement, • Tuition Reimbursement, • Referral Bonus Program, • Wellness Program, • Team Building Events, • Community Service Events LaBella is committed to facilitating a culture where diversity, equity, and inclusion are respected, valued, and celebrated by implementing thoughtful, practical, and innovative strategies that support our employees and serve the communities in which we reside. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. LaBella Associates does not accept unsolicited resumes from recruiting professionals or agencies, nor do we accept resumes from any source that does not reference a specific, open position. LaBella Associates will not be responsible for any fees arising from the use of resume submitted by recruiting professionals or agencies that do not have a current placement fee agreement with LaBella Associates. All initial communication with recruiting professionals or agencies must go through human resources.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time.Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives. About the Opportunity We are seeking a highly skilled Senior Scientist to lead the design, development, validation of innovative clinical workflow that can directly impact the diagnosis and treatment for heart disease. In this senior-level role, you are responsible for architecting a cutting-edge product that integrates our existing technologies while pushing the boundary of innovation in cardiac vascular imaging. You will also represent the company in strategic research collaborations with leading academic and clinical institutions, driving innovation at the intersection of AI and cardiovascular health. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly's regulated products. Responsibilities • Research and develop state-of-the-art AI and non-AI algorithms for coronary CT imaging applications., • Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams., • Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo,PCCP), including generating evidence and documentation., • Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice., • Communicate findings and strategy to internal stakeholders through clear technical documentation, presentations, and demos., • Contribute to intellectual property development through patents and scientific publications. Requirements • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 3+ years combined postdoc and/or industry experience; OR an M.S. with 5+ years of relevant experience., • R&D experience in medical image processing, demonstrating subject matter expertise in deep learning methods for image quality enhancements, optical flow analysis and CT harmonization., • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis)., • Strong experience in Python, Tensorflow and pytorch., • Prior experience with ITK, OpenCV, VTK., • Excellent interpersonal, cross-functional, and cross-cultural collaboration skills. Preferred qualifications • 3+ years of industry experience in AI-based medical device development or clinical deployment., • Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways., • Deep domain knowledge in cardiovascular imaging and CT interpretation workflows. The base salary range for this role varies by location and is aligned to market benchmarks. • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Final compensation is determined based on location, experience, skills, and internal equity. This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges: • Base Salary: $186,000 - $212,000, • TTC: $214,000 - $245,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact, • T: Teamwork- together we win Don't meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job Description Cresilon® is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company’s proprietary hydrogel technology. The company’s plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at www.cresilon.com. The R&D Manager/Principal Scientist - Polymer Formulation will lead the design, development, and implementation of novel formulations and polymer materials for use in medical devices, ensuring all activities meet applicable quality and regulatory standards. This role provides technical leadership and expertise in materials formulation development while building and optimizing internal capabilities to deliver innovative, efficient medical device and combination product solutions, aligned with the company’s long-term technical vision and pipeline of customer-focused innovations. Key responsibilities include developing and characterizing polymer material formulation solutions, recruiting and onboarding talent, managing technical collaborations with external suppliers and vendors, and integrating formulation solutions into scalable manufacturing processes, whether in-house or through CDMOs. The role operates in a highly collaborative, cross-functional environment and requires flexibility, scientific rigor, and a strong drive to explore and implement new technologies in the pursuit of robust, innovative products. This is a senior technical role overseeing a small team within a dynamic, growing organization. . The R&D Manager/Principal Scientist is both a strategic leader and a hands-on contributor. In addition to managing and mentoring staff, this individual is expected to remain actively engaged in laboratory work, directly contributing to experimental design, execution, troubleshooting, and data interpretation. This role requires a player-coach mindset, with the ability to balance people leadership, technical oversight, and individual scientific contribution. The role demands a high degree of ownership and adaptability, with the expectation that the individual will work at multiple levels—from setting technical direction to performing bench-scale formulation development and characterization activities as needed to meet program timelines. The R&D Manager / Principal Scientist will serve as a subject matter expert in polymer materials science, formulation strategies, analytical chemistry, and biomaterial interactions with biological systems. They are responsible for upholding high standards in research practices and ensuring scientific and technical rigor across all development activities. Additionally, they are responsible for leading the development of documentation required for regulatory submissions (e.g., 510(k), IDE, technical files), driving strategy for publications and grant applications, securing non-dilutive funding through grant opportunities, and supporting technology transfer into manufacturing environments. They will report to the Vice President of Technology. This is a full-time, on-site position, located in Brooklyn, New York. Responsibilities • Lead, staff, and manage formulation development teams and their efforts across multiple parallel product development opportunities, to launch new commercially successful products., • Provide sound scientific leadership, monitoring, and coaching through the initiation, planning, and execution of their team’s overall activities., • Create and lead experimentation of exploratory and/or product development research with a focus on polymeric materials and their use., • Exercise technical judgment in the design, execution, and interpretation of experiments within the scope of project responsibilities and ensure the use of professional concepts to solve complex problems in creative and effective ways, in conformance with scientific methods and procedures., • Lead material/design/process changes through the design control process, with well-documented research/analyses., • Review and author protocols and reports, including development studies and design verification/validation activities., • Develop and implement investigations into new technologies and capabilities, partnering with business development, that advance the research team and company objectives., • Lead efforts in chemical and mechanical property evaluation to assess the desirability of process or formulation changes. Develop test method capabilities to support R&D (exploratory research, product development) and production test requirements., • Develop unique, proprietary (and ideally patentable) intellectual property that yields competitive advantage., • Lead and participate in voice-of-customer (VOC) labs and influence go-to-market strategies., • Interface with customers, suppliers, and internal cross-functional team members to develop specifications and coordinate prototype fabrication., • Work as part of a cross-functional team to develop, verify, and validate product designs through bench, in-vitro, and in-vivo testing and other assessments., • Ensure an effective documentation system is in place and utilized throughout the development process inclusive of R&D lab notebooks, design reviews, test methods, and test reports., • Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation pertaining to research towards FDA/regulated authority submissions,, • Act as research liaison between R&D and Quality Control to define product specifications., • Maintain active dialogue with Manufacturing to ensure successful technology transfer and process development, including the review of research-related documents, • Provide guidance and support to commercial teams, support the introduction of new technologies with the development of presentations, sales tools, formulations, and applications data., • Communicate results to the scientific community via published papers. Present research at academic/industry symposia as an external representative of the company., • Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high-quality research operations within the organization., • Provide other project, product, or leadership support as needed to support Cresilon’s business objective. Requirements Required Qualifications • Master’s degree in Chemistry, Materials Science, Chemical Engineering, Polymer Science, or a closely equivalent discipline., • A minimum of 10 years of research experience in developing and utilizing polymeric materials, biomaterials, or other complex materials toward product/application development and their manufacture, with at least 5 years in a non-academic setting., • A minimum of 2 years of direct management experience., • Adept experimentalist with hands-on research experience with polymers, coagulation chemistry, and materials science of complex systems, including the development of structure-property performance relationships in designing and characterizing these materials., • Demonstrated ability to solve difficult technical problems and deliver practical solutions that meet the application requirements, along with a fundamental understanding of the chemistry that drives the performance required. This includes strong analytical, problem-solving, and decision-making skills with the ability to be observant and to think creatively., • Direct experience in new product development from concept to regulatory approval through launch., • Demonstrated ability to design experiments and analyze data with the use of appropriate quality and statistical methodologies is required., • Excellent verbal and written communication skills, with the ability to lead in a dynamic and collaborative environment, are required., • Highly organized and detail-oriented, with the ability to extract key facts from complex information and create/present clear and concise technical documentation is required., • Demonstrated ability to lead and inspire teams and develop and mentor individuals, and allocate resources strategically and according to the portfolio priorities., • Requires strong leadership and organizational skills with a strong attention to detail and multi-tasking skills while simultaneously keeping an overall “big picture” view of projects, priorities, and strategies., • Experience working under pressure with tight timelines, with the ability to maintain a sense of priorities, focus, urgency, and delivery., • Strong working knowledge of Microsoft Office., • Legal authorization to work in the United States. Preferred Qualifications • Ph.D. in a relevant discipline is strongly preferred., • Experience developing and commercializing products in a highly regulated environment, • Medical device development experience., • Demonstrated expertise in the use, development, and qualificication of material characterization techniques, including rheological, thermal, mechanical, spectroscopic, microscopic, and other chemical compositional methods., • Strong understanding of medical device regulatory requirements for Class II and III medical devices (e.g., 21 CFR Part 820), cGLP/cGMP, and related standards (e.g., ISO 13485)., • Strong understanding of cGMP, ICH guidelines, • Six sigma green belt or black belt certification., • Experience with executing a grant and publication submission strategy, knowledge of and strong track record with SBIR submissions to multiple agencies, including NIH and DOD is strongly preferred., • Demonstrated experience in Project Management and Product Lifecycle Management practices, and the ability to lead multiple projects simultaneously., • Excellent problem-solving skills and a proactive approach to addressing formulation challenges. Cresilon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits BENEFITS • Competitive annual base salary range of $130,000 - $180,000, depending upon qualifications., • Paid Vacation, Sick, & Holidays, • Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage, • Company Paid Life and Short-Term Disability Coverage, • Work/Life Employee Assistance Program, • Monthly MetroCard Reimbursement, • 401(k) & Roth Retirement Savings Plan with company match up to 5%

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: We are a Data Science team at Oscar dedicated to improving the Member Experience by embedding advanced analytics into our core technology and operations. We focus on building data products that bridge the gap between complex health insurance workflows and seamless, member-centric service. You will drive the evolution of our member-facing tools by developing the LLM frameworks and ML models that underpin our automated support systems and digital interfaces. You will be responsible for evaluating both tool performance and member behavior to surface deep insights that inform our broader product and operations strategy. You will report into the Lead Data Scientist. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $163,944 - $215,176.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses. Responsibilities: • Works with team and manager to impact longer term strategies and roadmap, • Sets shorter term roadmap for team, • May manage data scientists and/or analysts, • Interacts and collaborates closely with data and business counterparts across functional areas, • Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses, • Compliance with all applicable laws and regulations, • Other duties as assigned Requirements: • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: • Advanced degree in a quantitative or technical field, • Experience in the healthcare, finance and/or insurance industries, • Experience evaluating consumer-facing digital products in collaboration with Product and Engineering teams This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Senior Applied Scientist to build the algorithmic systems that power Garner. These systems determine how we evaluate providers, make recommendations, and optimize for outcomes across cost, quality, and access. You will be responsible for turning ambiguous, real-world problems into systems that deliver measurable impact, defining the objective functions, metrics, and logic that drive our product. You will own these systems end-to-end, from problem definition through production and ongoing performance. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Own the design, performance, and evolution of the algorithms that power Garner's core systems, • Turn messy, real-world healthcare and business constraints into clear optimization problems, scoring systems, and decision frameworks, • Develop objective functions and metrics that balance quality, cost, access, and member experience, • Evaluate system performance, run experiments, and refine logic based on real-world outcomes, • Apply machine learning, optimization, heuristics, or rules-based approaches based on what best solves the problem, • Work closely with engineering to deploy systems that are scalable, interpretable, and resilient, • Build a deep understanding of the healthcare economyThe ideal candidate has:, • 2+ years of experience shipping data-driven algorithms to production, • A bias toward action, quickly translating ideas into working prototypes to test approaches, • Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them, • Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem, • Strong communication skills and the ability to synthesize complex algorithmic ideas for business and technical stakeholders, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use: Python, SQL, AWS, Snowflake, pandas, XGBoost This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $236,000 - $260,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com. Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Staff Data Scientist, you'll be seen as a tech lead thought leader across company leaders and across Product, Engineering, Design, Operations, and Clinical teams. You will help the company be rigorous and thoughtful on how to best use data and apply statistical methods. You will bring an experienced perspective among the team to help them polish their thinking and ultimately inform their roadmaps, shape their thinking, and drive outcomes. You will be a highly engaged cross-functional partner that is sought out to solve challenges and will be able to bridge the gap between technical and non-technical stakeholders, upleveling those around you. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Partner with Product, Engineering, Design, Clinical, Operations, and Machine Learning teams to turn ambiguous questions into clear analytical recommendations that influence strategy and decision-making., • Build and establish models and analyses using appropriate statistical methods that identify key roadmap items to prioritize across the respective teams., • Regularly influence leaders to accept recommendations and define the metrics that matter which will generate concrete and notable impact to the company's mission., • Partner closely with Analytics and Data Engineering to define key objectives for the team, design and scale repeatable frameworks, and enable broader self-serve use of existing tools & methods while keeping a high bar when it comes to analytical rigor., • Be a causal inference expert with knowledge across several methodologies (e.g. Experimentation, Diff-in-Diff, IV, Propensity Score, etc.) and serve as a key stakeholder in enabling this thinking., • Form and vocalize opinions on how we should do things and gain trust among company leaders as a key partner they should feel empowered to reach out to for brainstorming and new initiatives., • Serve as a tech lead for the Data Science org with strong mentorship of peers. Requirements • 7+ years in data science/analytics roles, at least 3 of those years in a tech lead capacity., • Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders., • Experience with modeling that led to clear and concrete adoption of recommendations and demonstrated visible impact, • Detailed knowledge of causal inference methods including (but not limited to): RCT, Diff-in-Diff, IPW, Propensity Score, Instrumental Variables, Variance Reduction, etc., • Experience with leveraging LLMs on text to generate insights and amplify existing work., • Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement)., • Excellent ability to communicate, collaborate, and influence business partners at all levels, but especially executives and those at Director+ levels., • Bonus: Healthcare Experience, Start-up Experience, • Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes, • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week.Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-hybrid Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Staff Data Scientist - Growth and Marketing, you'll be seen as a thought leader among Growth, Marketing, and Revenue partners to help them be rigorous and thoughtful on how to best use data. You will bring an experienced perspective among the team to inform their roadmaps, shape their thinking, and drive outcomes. You will contribute directly to the growth of the company, via streamlining marketing measurement and approaches, leveraging statistical rigor via modelling & causal inference to teams, and via identifying new opportunities for continued and sustained impact across the org. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Partner with Growth, Marketing, Revenue, and Operations to turn ambiguous business questions into clear analytical recommendations that influence strategy and decision-making, • Build and iterate on lead, account, and ICP scoring models that help reps prioritize efforts and partner with Ops on data-driven territory design, • Develop models to analyze successful high-performer rep patterns to optimize onboarding and productivity, • Architect and maintain a trusted marketing measurement framework (e.g. MMM, incrementality testing [geo tests, holdouts, lift studies]), & align on consistent metric definitions (e.g. CAC, conversion, retention), • Develop spend optimization & channel allocation frameworks that account for saturation, diminishing returns, and the tradeoff between short-term acquisition and long-term outcomes, • Apply causal inference methods (DiD, synthetic controls, quasi-experiments) to own channel-level incrementality measurement, with clear decision rules & guardrails for each approach, • Design and scale repeatable experimentation frameworks for channel, creative, and audience testing, increasing velocity without compromising rigorRequirements, • 7+ years in data science/analytics roles, at least 3 of those years with Marketing, Sales, and/or Revenue teams, • Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders, • Familiarity with CRMs (e.g. Salesforce), Marketing Platforms, and the metrics / terminology associated with them (CAC, Opps, etc.), • Experience with modeling work that spans at least some of: MMM, LTV, Lead Scoring, Attribution Modeling, and Segmentation, • Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement), • Excellent ability to communicate, collaborate, and influence business partners at all levels, • Bonus: Healthcare Experience, Start-up Experience, • Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes, • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/weekBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Additional Information The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-hybrid Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description About Synaptrix Labs Inc. Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience. We're seeking a full time Research Scientist, Artificial Intelligence (PhD) to join our growing team of researchers & engineers. If you're passionate about shaping the future of brain-computer interfaces and excited by the potential of deep learning in neurotechnology, we want to hear from you! Responsibilities: • Design, prototype, and optimize state-of-the-art AI systems for neural decoding, including diffusion models, graph neural networks, contrastive/self-supervised frameworks, and transformer-based sequence models., • Conduct foundational research on neural time-series representation learning: build architectures that extract latent dynamics from EEG, EMG, or related biosignals., • Develop high-fidelity simulation environments for testing decoding algorithms, incorporating stochastic signal noise and realistic biophysical constraints., • Scale model training across multi-GPU and multi-node clusters using PyTorch Distributed, DeepSpeed, or JAX/Flax; profile and tune system performance for sub-10 ms inference latency., • Build and maintain end-to-end research pipelines for large-scale signal datasets, including preprocessing, artifact rejection, and multimodal fusion with video, audio, and IMU data., • Collaborate with neuroscientists and hardware engineers to integrate learned models into real-time BCI control loops and embedded systems., • Contribute to core ML infrastructure: experiment tracking, model versioning, dataset lineage, and reproducibility standards., • Publish at top-tier ML or neurotech venues (NeurIPS, ICLR, Nature Neuro, EMBC) and present findings to the research community. Minimum Qualifications: • PhD or equivalent deep technical expertise in Machine Learning, Artificial Intelligence, Computer Science, Computational Neuroscience, or related fields., • Strong command of PyTorch or JAX, with experience implementing custom training loops, loss functions, and model architectures., • Proven ability to conduct end-to-end research, from conceptual design to reproducible experiments and evaluation., • Strong mathematical foundations in linear algebra, probability, optimization, and information theory., • Experience working with high-dimensional time-series or sensory data (EEG, speech, video, motion capture, etc.)., • Skilled in Python, NumPy, Pandas, and scientific computing workflows; experience with CUDA or low-level GPU debugging is highly valued., • Demonstrated ability to operate independently on open-ended problems and drive original research with limited supervision. Preferred Qualifications: • Deep familiarity with neural signal modeling, neural decoding, or biosignal preprocessing (EEG/MEG/ECoG/EMG)., • Experience designing self-supervised or generative models (diffusion, VAEs, contrastive, masked modeling) for noisy, non-stationary data., • Background in reinforcement learning, optimal control, or human-in-the-loop systems, especially in continuous domains., • Publications or preprints in top venues (NeurIPS, ICML, ICLR, CVPR, EMBC, Nature Neuro)., • Familiarity with distributed training, mixed-precision, multi-GPU orchestration, and cloud ML infrastructure (AWS/GCP/Azure)., • Contributions to open-source ML frameworks or custom CUDA kernels., • Understanding of neural signal acquisition hardware, embedded inference, or edge ML deployment., • Track record of curiosity-driven, independent research resulting in practical systems or open-source codebases. About our Culture: At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation. Expected Compensation: The base salary for this role is anticipated to fall within the following range. Actual compensation will depend on your experience, technical expertise, and relevant education or training. In addition to base pay, Synaptrix offers equity to all full-time employees, reflecting our commitment to shared success and long-term company growth. Base Salary Range: $85,000 - $150,000 USD What We Offer: • An opportunity to change the world and work with some of the smartest and most talented experts from different fields, • Growth potential; we rapidly advance team members who have an outsized impact, • Paid holidays, unlimited PTO

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role We are seeking an exceptional Staff Applied Scientist to build the algorithmic systems that power Garner. These systems determine how we evaluate providers, make recommendations, and optimize for outcomes across cost, quality, and access. You will be responsible for turning ambiguous, real-world problems into systems that deliver measurable impact, defining the objective functions, metrics, and logic that drive our product. You will own these systems end-to-end, from problem definition through production and ongoing performance. Where you will work This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do • Own the design, performance, and evolution of the algorithms that power Garner's core systems, • Turn messy, real-world healthcare and business constraints into clear optimization problems, scoring systems, and decision frameworks, • Develop objective functions and metrics that balance quality, cost, access, and member experience, • Evaluate system performance, run experiments, and refine logic based on real-world outcomes, • Apply machine learning, optimization, heuristics, or rules-based approaches based on what best solves the problem, • Work closely with engineering to deploy systems that are scalable, interpretable, and resilient, • Build a deep understanding of the healthcare economyThe ideal candidate has, • 3+ years of experience shipping data-driven algorithms to production, • A bias toward action, quickly translating ideas into working prototypes to test approaches, • Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them, • Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem, • Strong communication skills and the ability to synthesize complex algorithmic ideas for business and technical stakeholders, • A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use Python, SQL, AWS, Snowflake, pandas, XGBoost Why this role This is a unique opportunity to work on high-impact search problems in healthcare, helping shape how members find better care through algorithmic systems that directly influence healthcare outcomes. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency The target salary range for this position is $260,000 - $382,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com. Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.

Job Description About the Role: The Medical Technologist plays a critical role in the healthcare system by performing complex laboratory tests that aid in the diagnosis, treatment, and prevention of diseases. This position requires meticulous attention to detail to ensure the accuracy and reliability of test results, which directly impact patient care decisions. The Medical Technologist operates and maintains sophisticated laboratory equipment, analyzes biological specimens, and interprets data to provide actionable insights to physicians and healthcare providers. Collaboration with clinical staff and adherence to regulatory standards are essential to maintain laboratory quality and safety. Ultimately, this role contributes to improving patient outcomes through precise laboratory diagnostics and continuous quality improvement initiatives. Minimum Qualifications: • Bachelor’s degree in Medical Technology, Clinical Laboratory Science, or a related field from an accredited institution., • Certification as a Medical Technologist (MT) or Clinical Laboratory Scientist (CLS) by a recognized certifying body such as ASCP or AMT., • At least one year of experience working in a clinical laboratory setting performing diagnostic testing., • Strong knowledge of laboratory safety protocols and regulatory compliance requirements., • Ability to accurately perform and interpret complex laboratory tests with attention to detail. Preferred Qualifications: • Advanced certification or specialization in areas such as microbiology, hematology, or molecular diagnostics., • Experience with laboratory information systems (LIS) and electronic medical records (EMR) integration., • Familiarity with quality management systems and participation in proficiency testing programs., • Previous experience working in a hospital or high-volume clinical laboratory environment., • Graduate coursework or continuing education in emerging diagnostic technologies and laboratory management. Responsibilities: • Perform routine and specialized laboratory tests on blood, tissue, and other body fluids using automated and manual techniques., • Operate, calibrate, and maintain laboratory instruments and equipment to ensure optimal performance and compliance with safety standards., • Analyze test results, identify abnormalities, and report findings accurately and promptly to healthcare providers., • Maintain detailed records of tests performed, quality control procedures, and equipment maintenance logs., • Collaborate with medical staff to troubleshoot technical issues and provide expert guidance on laboratory procedures., • Ensure compliance with all regulatory requirements, including OSHA, CLIA, and CAP standards., • Participate in continuous education and training to stay current with advancements in laboratory technology and methodologies. Skills: The Medical Technologist utilizes strong analytical skills daily to conduct and interpret a wide range of laboratory tests accurately. Attention to detail is critical when calibrating instruments and reviewing test results to ensure data integrity and patient safety. Effective communication skills are essential for collaborating with healthcare professionals and documenting findings clearly. Technical proficiency with laboratory equipment and software systems supports efficient workflow and compliance with regulatory standards. Additionally, problem-solving skills enable the technologist to troubleshoot equipment issues and optimize laboratory processes for improved diagnostic outcomes. Evening/Overnight Tuesday-Saturday 8 hours/80 hours

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Staff Data Scientist - Growth and Marketing, you'll be seen as a thought leader among Growth, Marketing, and Revenue partners to help them be rigorous and thoughtful on how to best use data. You will bring an experienced perspective among the team to inform their roadmaps, shape their thinking, and drive outcomes. You will contribute directly to the growth of the company, via streamlining marketing measurement and approaches, leveraging statistical rigor via modelling & causal inference to teams, and via identifying new opportunities for continued and sustained impact across the org. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Partner with Growth, Marketing, Revenue, and Operations to turn ambiguous business questions into clear analytical recommendations that influence strategy and decision-making, • Build and iterate on lead, account, and ICP scoring models that help reps prioritize efforts and partner with Ops on data-driven territory design, • Develop models to analyze successful high-performer rep patterns to optimize onboarding and productivity, • Architect and maintain a trusted marketing measurement framework (e.g. MMM, incrementality testing [geo tests, holdouts, lift studies]), & align on consistent metric definitions (e.g. CAC, conversion, retention), • Develop spend optimization & channel allocation frameworks that account for saturation, diminishing returns, and the tradeoff between short-term acquisition and long-term outcomes, • Apply causal inference methods (DiD, synthetic controls, quasi-experiments) to own channel-level incrementality measurement, with clear decision rules & guardrails for each approach, • Design and scale repeatable experimentation frameworks for channel, creative, and audience testing, increasing velocity without compromising rigorRequirements, • 7+ years in data science/analytics roles, at least 3 of those years with Marketing, Sales, and/or Revenue teams, • Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders, • Familiarity with CRMs (e.g. Salesforce), Marketing Platforms, and the metrics / terminology associated with them (CAC, Opps, etc.), • Experience with modeling work that spans at least some of: MMM, LTV, Lead Scoring, Attribution Modeling, and Segmentation, • Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement), • Excellent ability to communicate, collaborate, and influence business partners at all levels, • Bonus: Healthcare Experience, Start-up Experience, • Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes, • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/weekBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Additional Information The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-hybrid Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needs Problem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical vision Leadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • Influence technical roadmaps and architectural decisions Requirements Required Qualifications • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job Description Hi, we're Oscar. We're hiring an Applied AI Engineer to join our AI team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role Join Oscar's AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As an Applied AI Engineer, you'll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You'll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You'll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members. You will report to the Sr. Director, AI. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $163,944 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems., • Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics., • Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback., • Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences., • Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation., • Contribute to Oscar's AI strategy and technical vision, helping shape the future of healthcare through technology., • Other duties as assignedQualifications, • 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments, • Strong Python programming skills, • Experience solving complex, ambiguous problems, • Experience designing and analyzing experiments or evaluations, • Experience or an interest in prototyping full-stack applicationsBonus Points, • Experience with the healthcare industry. Familiarity with claims or clinical data., • Degree in math, statistics, data science, or engineering., • Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact., • Experience with NLP, neural networks, transformers, and modern AI frameworks., • Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang)., • Experimental mindset: comfort with testing hypotheses and iterating on failures. This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Built In LGBTQIA+ Advocacy Award (2022) As a Staff ML/AI Engineer at Maven, you will: • Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences., • Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers., • Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance., • Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization., • Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models., • Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency., • Stay on the pulse of the evolving LLM and applied AI landscape, continuously exploring how to bring cutting-edge advancements into Maven's platform. We're looking for you to bring: • A strong track record in either:, • Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or, • Deep experience as a data scientist working across the data science lifecycle — from understanding messy, complex datasets to training or fine-tuning models that deliver measurable business impact., • Experience integrating and deploying foundation models via platforms like OpenAI, Google Vertex AI, or similar., • A clear understanding of how to work with health-related datasets, including user behavior, care journeys, health profiles, and provider interactions., • Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.)., • Familiarity with cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them., • Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows., • A collaborative mindset, strong communication skills, and a passion for using AI to improve healthcare outcomes., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience., • Minimum of 8 years of experience in backend development, platform architecture and ML/AI platform or products, with a proven track record of building highly scalable, performant, and reliable systems with modem technologies. The base salary range for this role is $220,000 - $300,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in Boston, DC, Chicago, Seattle, and San Francisco, we encourage in-person collaboration by requiring team members to attend monthly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens, • 401K matching for US-based employees, with immediate vesting These benefits are applicable to Maven Clinic Co., US-based, full-time employees only. 1099/Contract Providers are ineligible for these benefits. Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g jsmith@mavenclinic.com). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: security@mavenclinic.com. For general and additional inquiries, please contact us at careers@mavenclinic.com.

Job Description Cresilon® is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company’s proprietary hydrogel technology. The company’s plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at www.cresilon.com. The Preclinical Principal Scientist will serve as a key scientific contributor, subject matter expert (SME), and Project Manager in the execution of Cresilon’s Preclinical Research Operations, including but not limited to in-vivo study design (Safety and Efficacy/Functionality evaluations), Preclinical Research Management, Vendor Management, and Preclinical Regulatory Strategy. This will include the development and execution of strategies for preclinical evidence necessary to competitively position a project’s product for domestic and international regulatory and clinical acceptance. This position is a hybrid role, with work off-site at CRO in the NY area, work from home, and on-site at Brooklyn NY. Job Responsibilities: The Preclinical Research Scientist will: • Lead, staff, and manage Cresilon’s Preclinical Research activities., • Provide preclinical scientific input and leadership on the evaluation of physical safety and efficacy for technologies and products at all stages of the product life-cycle., • Plan, direct, coordinate, and execute activities related to the design, initiation. and follow-up of studies to support approval of Class I-III medical devices., • Develop, write, and/or review study protocols and reports. Act as a technical mentor for the development of study experimental designs, protocols, and reports of junior associates., • Administrater and manage Cresilon's preclinical regulatory strategy and communication., • Work with Contract Research Organizations (CROs) to execute both Biocompatibility / Safety and Efficacy/Functionality research, including negotiating, drafting, and managing research contracts and agreements with pre-clinical trial sites., • Ensure that the company operates within the scope of regulatory compliance, including Quality System Regulations (ISO 13485), health and safety, environmental protection regulations, and the core values of Cresilon., • Be a Subject Matter Expert (SME) for the preclinical research department growth strategy. Actively interact with the internal and external scientific community to maintain state-of-the-art knowledge., • Oversee the development of and modifications to preclinical models to address project needs., • Oversee the design and execution of preclinical functionality and safety in-vivo studies per project timelines., • Surveys the literature to identify and compare competitive product performance and safety risks., • Maintain current knowledge in existing regulations, requirements and standards, including but not limited to global regulatory requirements (ISO, FDA, etc) and compliance requirements (GLP, USDA, AAALAC, departmental SOP's, company policies, etc), • Work cross-functionally with Regulatory and Quality to assess project risks, product safety, and efficacy on NPD projects, including ensuring external facilities meet Cresilon standards for animal use and generating contracts and CRO audits, if necessary., • Manage budgetary requirements for all research projects to support efficacy and safety programs., • Lead the effort to publish surgical research in peer-reviewed journals., • Regularly interface with management to ensure research operations reflect overall corporate vision/strategy., • Work with the VP of Technology and the Director of R&D to ensure long-term vision and goals are met to reflect the company’s charter.nd Requirements • DVM, PhD or MD in a relevant discipline is preferred. A Bachelor's in a technical or scientific field is required., • Minimum 6+ years’ experience in preclinical medical device research is required, preference given to veterinary surgical or human surgical experience., • 4+ years of people management experience preferred., • Extensive knowledge of surgery, anatomy, toxicology, and pathology is required. Hands-on surgical experience is require., • Experience with planning, directing, and coordinating activities related to studies to support approval of Class I-III medical devices is highly preferred., • Experience in a medical device, pharmaceutical, or related setting with a proven record of success in supporting studies for R&D projects is highly preferred., • Strong knowledge of ISO-10993 Standards, FDA Guidance and Regulations, and Animal Welfare Regulations., • Experience with surgical publication submission strategy is strongly preferred., • Strong communication skills (both written and verbal) is required with the ability to extract key facts from complex information and present concise summaries to management., • Demonstrated experience with large animal in vivo surgical research and CRO vendor management is required., • Previous experience in authoring and reviewing nonclinical regulatory documents as well as interactions with regulatory authorities is strongly preferred., • Excellent problem solving, conflict resolution, and analytical skills is required., • Ability to work effectively both independently and collaboratively in a dynamic team-oriented environment is required., • Prior experience and ability to work well with external CROs and collaborators with professionalism and discretion is required., • Requires strong leadership and organizational skills including attention to detail and multi-tasking skills., • Able to understand and execute to project details but keep overall “big picture” view of projects, priorities, and strategies is required., • Medical Device product development experience, including knowledge of medical device regulations, regulatory/notified body requirements is preferred., • Good Laboratory Practices (GLP) experience preferred and working knowledge of Good Manufacturing Practices (GMP), • Experience in developing and commercializing regulated devices under Design Control (21 CFR 820) requirements, GLP/GMP, and ISO regulations is preferred., • Hands-on research experience with hemostatic devices and/or coagulation chemistry, strongly preferred., • Legal authorization to work in the United States., • This position is located in Brooklyn, NY and may require up to 30% travel (to monitor and execute out-sourced studies) Cresilon is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits • Competitive annual base salary range of $130,000 - $210,000, depending upon job level and qualifications., • Paid Vacation, Sick, & Holidays, • Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage, • Company Paid Life and Short-Term Disability Coverage, • Work/Life Employee Assistance Program, • Monthly MetroCard Reimbursement, • 401(k) & Roth Retirement Savings Plan with company match up to 5%

Aventis Solutions is igniting the AI revolution + for The AI Executive Podcast, head to our Aventis Solutions page, or search The AI Executive Podcast on: • YouTube, • Spotify, • Amazon Music Now, the key details: We're partnering with an ambitious, AI-first technology business to appoint x2 Business Analysts to join the fast-growing tech teams - a rare opportunity to lead the technical direction of a growing AI function while building the platforms, people, and processes that will power the next generation of intelligent products. This is an opportunity to sit at the intersection of AI, Product, Data, Engineering, Operations, and Commercial Strategy, helping transform ideas into intelligent products, processes, and solutions that create measurable impact. They have the funding, the ambition and the executive backing; they now need ambitious analysts to fulfil the next exciting stage of growth. Key Details: • Salary & Compensation: $115,000 – $195,000 base salary + annual bonus + healthcare + executive benefits + long-term incentive potential, • Location: 5x HQs including Austin, TX, Chicago, Miami, FL, New York and Washington, DC, with hybrid working. Fully remote across the US will also be considered!, • Future Outlook: This role has been designed as a launchpad for future AI and Product leadership. As the business continues to expand its AI capability, these positions will become increasingly influential in helping determine how technology investments translate into business outcomes. Key Skills & Experience: • Business Analysis: Proven experience gathering requirements, analysing business processes, mapping workflows, and translating business needs into actionable solutions., • AI & Emerging Technology: Genuine interest in AI, Generative AI, automation, machine learning, and how emerging technologies can improve business performance., • Stakeholder Management: Ability to confidently engage technical and non-technical stakeholders across multiple departments., • Problem Solving: Strong analytical mindset with the ability to identify inefficiencies, opportunities, and measurable business improvements., • Product Collaboration: Experience working alongside Product Managers, Software Engineers, Data Teams, or Technology functions., • Data Awareness: Understanding of data, reporting, analytics, dashboards, KPIs, and decision-making frameworks., • Technology Exposure: Familiarity with modern software platforms, APIs, automation tools, SaaS products, or digital transformation initiatives., • Communication: Exceptional communication skills with the ability to simplify complex topics and present recommendations clearly., • Commercial Thinking: Understanding that technology initiatives must ultimately create value for customers, users, and the wider business., • Adaptability: Comfortable operating within a fast-moving scale-up environment where priorities evolve and opportunities emerge quickly. Role Overview: As an AI Business Analyst, you'll act as the bridge between business objectives and technical delivery. You'll work across multiple teams to identify opportunities where AI, automation, data, and technology can improve operational performance, customer experience, and commercial outcomes. You'll help shape requirements, evaluate solutions, analyse processes, and contribute to the successful delivery of AI-powered initiatives across the organisation. These will include CTO, VP of AI, Head of Data Engineering, VP of Data & Analytics, AI Engineer, Data Scientist, Machine Learning Engineer, Software Technical Architect, Software Engineer, Product Manager, VP of Marketing, Head of Sales, and many more! If you're excited by AI, fascinated by emerging technology, and want to be part of a business building the future rather than reacting to it, this could be the opportunity that accelerates your career faster than any traditional Business Analyst role ever could. Believe the AI hype! Interested? Please submit your CV via LinkedIn or message Billy Hall for further information. Aventis Solutions is acting on behalf of our partner.

About us: Foodsmart is the leading Foodcare platform in the U.S., built to deliver nutrition-driven healthcare at scale. Powered by a national network of Registered Dietitians, Foodsmart combines personalized clinical nutrition care, behavior change tools, and food benefits to improve member health outcomes while lowering healthcare costs. Our platform is designed to foster healthier food choices, drive lasting behavior change, and deliver sustainable health outcomes. Through our highly personalized, digital platform, we guide more than 3 million members—including those in employer-sponsored health plans, regional and national Medicaid managed care organizations, Medicare Advantage plans, and commercial insurers—on a tailored journey to eating well while saving time and money. Foodsmart seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family, optimizing ingredients both at home and on the go. We partner with national and regional retailers across the U.S., many of whom accept SNAP/EBT, making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food. In 2024, Foodsmart secured a $200 million investment from TPG’s Rise Fund, which supports entrepreneurs dedicated to achieving the United Nations’ Sustainable Development Goals. This investment helps us expand our reach, particularly to low-income workers who are disproportionately affected by diet-related diseases. At Foodsmart, our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We are committed to a set of core values that shape our culture and work environment: 👥 Customer First - You start with the member and work backwards. 🚀 Make It Happen - You act with urgency, use data, and hold high standards. 🤝 One Team - You collaborate with respect and commit as a group. Whether you're a dietitian, a commercial leader, or a technologist, working at Foodsmart means being part of a team that is passionate, supportive, and driven by a shared purpose. Join us in transforming the way people access and enjoy healthy food. About the role: We are seeking a Staff Data Scientist to own the analytical strategy across Foodsmart's Member growth engine. This role spans two tightly coupled domains: marketing analytics and product analytics. On the marketing side, you will own the end-to-end acquisition funnel — from marketable lives through initial visit completion — across both our outbound (call center) and inbound (scheduling referral) channels. On the product side, you will own the member-facing funnel: onboarding flow, sign-up conversion, and the in-app experience through a member's completed first appointment. These two domains are intentionally paired because growth and product are deeply interdependent — the effectiveness of our acquisition investment is shaped by what happens the moment a member enters our product experience, and optimizing the full funnel requires owning both sides of that handoff. This is a high-impact, dom ain-owning role reporting to the VP of Analytics & Data Science. You will own the executive narrative on marketing and product funnel performance, lead our experimentation and causal inference program across both domains, and build the attribution, lifecycle, and product analytics models that shape how Foodsmart invests in acquisition and member engagement. You will also be a core contributor to building out Foodsmart's event tracking infrastructure and product analytics foundation — including our Statsig implementation — establishing the measurement architecture that makes rigorous product experimentation possible. This is a full-stack data science role. We are not looking for a pure statistician or a pure analytics engineer — we need someone who operates across the entire analytical stack: from dbt source models and semantic layer design, to BI dashboards and self-service tooling, to predictive modeling, causal inference, and optimization work. At Foodsmart, durable insight requires owning the data foundation it sits on, and impactful models require the communication infrastructure to drive decisions. We expect this person to be strong across all of it. We are a small, flat, fast-moving team that leans hard into AI-native tooling. We use Hex and its AI Agent for analysis, Omni with deep context engineering to power stakeholder self-service through its AI Agent, and we are actively expanding our use of Claude and Claude Code across our workflows. We want someone who treats these tools as force multipliers for their own output and who actively engineers context into our data models so that stakeholders can self-serve — not someone who sees analytics as a hand-cranked request queue. • Own the analytical strategy for the end-to-end marketing funnel, from marketable lives to lead generation to omni-channel engagement strategy to visit completion and re-engagement. This includes our call center function (outbound rep allocation, inbound referral scheduling, ZCC data) and member lifecycle (Customer.io journey performance, reactivation, and initial visit completion optimization)., • Own the product analytics domain: onboarding funnel, sign-up conversion, in-app engagement, and the member experience through completed first appointment. Partner with the top-of-funnel product team as their embedded analytical lead, attending product cadences and co-owning the product analytics roadmap., • Serve as the executive-facing owner of the marketing and product performance narrative: explaining why marketable lives, funnel conversion, and initial visit completion moved, what levers drove the result, and what to double down on., • Design and lead Foodsmart's experimentation program across both marketing and product, including test design, causal inference methods, readout discipline, and the intake process for stakeholder-driven test ideas. Own the StatSig implementation and serve as the internal expert on experiment instrumentation, StatSig configuration, and results interpretation., • Own and evolve our attribution framework, including scheduling episode attribution, multi-touch attribution, and media mix modeling as Foodsmart's channel portfolio grows., • Partner with Growth Marketing leadership as the embedded analytical lead: attending marketing cadences, co-owning the analytics roadmap, and driving insight into action., • Own and evolve the dbt data models for the marketing and product domains — from raw source modeling through mart-layer metrics — ensuring data quality, test coverage, documentation, and a semantic layer that makes self-service trustworthy. This is a core craft expectation of this role, not a secondary responsibility., • Engineer context into our semantic layer and BI environment (Omni) so that stakeholders and AI agents can reliably self-serve answers across the marketing and product funnel. You treat context engineering — writing descriptions, defining metrics, curating what's exposed — as a first-class part of your job., • Drive the narrative, not just the numbers — translate findings into clear, actionable recommendations for executive and marketing leadership audiences., • Raise the bar for the analytics team on the craft areas central to this role — experimentation design, dbt modeling patterns, and context engineering. You don't manage anyone, but you operate as a technical leader: establishing best practices, reviewing work, and making the team around you better., • An operator who thrives in flat, fast-moving teams. You need minimal guidance to drive outcomes and default to taking ownership rather than waiting for direction., • A domain-owning IC who is comfortable being the single point of accountability for a critical business area and the executive-facing voice on its performance., • A rigorous experimentalist who treats causal inference as a core craft, not a buzzword — with a point of view on what makes a test trustworthy and how to teach causal thinking to business partners., • A strategic partner who can translate a high-level business problem into a concrete analytical roadmap and influence senior leaders across marketing, product, clinical, and finance., • A full-stack analytics practitioner — strong across analytics engineering (dbt, semantic layer), business intelligence and dashboarding, and data science (predictive modeling, causal inference, optimization) — who doesn't silo into pure stats/Python work and understands that durable insight requires owning the data foundation, not just the models on top of it., • Deeply fluent with AI-native tooling — you see tools like Claude, Claude Code, and in-BI AI agents as a core part of how you get leverage, and you have a point of view on how to engineer the context and semantic layer that makes AI-driven self-service trustworthy., • Bachelor's degree, ideally in a quantitative or technical field (e.g., Economics, Statistics, Computer Science, Operations Research, Applied Mathematics); Master's degree is a plus., • 8+ years of experience in data science, analytics, or experimentation, with a proven track record of driving measurable impact on growth, acquisition, or lifecycle outcomes., • Deep, hands-on expertise in experimentation and causal inference. You have designed and interpreted rigorous tests (A/B, quasi-experimental, geo-lift) and can defend methodology choices under scrutiny., • Strong background in attribution modeling (scheduling episode, multi-touch attribution, media mix modeling) and a clear point of view on the tradeoffs between approaches., • Experience owning lifecycle analytics, ideally including hands-on work with Customer.io, Braze, Iterable, or a similar platform., • Hands-on experience with product analytics instrumentation — event tracking, funnel analysis, and experimentation platforms (Statsig, Amplitude, Mixpanel, or equivalent) — and a point of view on what good product measurement infrastructure looks like., • Experience with call center or contact center analytics is a plus. We leverage Zoom Contact Center (ZCC) for our outbound and inbound scheduling teams., • Expert-level proficiency in SQL and strong proficiency in Python (pandas, scikit-learn, statsmodels, etc.)., • Deep, production-level experience with dbt — including source and mart-layer modeling, testing, documentation, and semantic layer design. You have owned a dbt project end-to-end, not just contributed to one., • Experience with context engineering for BI and AI self-service: writing semantic layer definitions, metric descriptions, and data model documentation that enables reliable AI-assisted querying (Omni, Looker, or equivalent)., • Proven fluency with AI-native developer and analyst tooling — Claude, Claude Code, Cursor, Hex AI Agent, Omni AI, or equivalent — used in production analytical workflows., • Experience working in marketplace business models and/or adjacent to healthcare, Medicaid, or a similarly regulated domain is a plus but not required., • Excellent communication skills. You can distill complex models, test results, and funnel diagnostics into clear, actionable recommendations for executive and marketing-leadership audiences. $170,000 - $200,000 a year Role: Staff Data Scientist, Growth Analytics Location: Remote, USA Base Salary Range: $170,000 - $200,000 base + bonus Our salary ranges are determined by role, level, and location. Individual pay is determined by work location, job-related skills, experience, and relevant education or training. About our benefits and perks: ✅ Remote-First Company ✅ Unlimited PTO ✅ Flexible & remote location ✅ Healthcare Coverage (Medical, Dental, Vision) ✅ 401k & bonus ✅ Registered Dietitian Sessions Foodsmart is an Equal Opportunity Employer. It is our firm policy to extend equal employment and advancement opportunity to all applicants and employees without regard to race, color, national origin, citizenship status, religious creed, age, sex (including pregnancy, childbirth, breastfeeding, medical conditions related to pregnancy, childbirth and/or breastfeeding), gender, gender identity and expression, sexual orientation, marital status, disability (physical or mental) and/or a medical condition, genetic information, ancestry, veteran status or service in the uniformed services, and any other characteristic protected by applicable federal, state or local law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Location: US remote-friendly or any office location - SF, LA, CHI, NY Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. As a Staff Data Scientist on the team, you will play an influential role in guiding product strategy through proactively identifying opportunities, conducting exploratory analyses and sharing insights, and driving learning through experimentation. Responsibilities: • Help build the long term product strategy by identifying opportunities to attract new users, increase engagement, and drive retention, • Influence strategic roadmaps through data-driven insights into user behaviors and needs, • Design metrics that help evaluate the health of the business and the success of our products, including any ETL development needed for consistent and robust analysis, • Drive experimentation from design through execution and analysis to maximize learnings and guide future investment decisions, • Build self-serve tools for product and engineering partners that answer common questions and/or increase data literacy in the organization, • Work cross functionally with product, engineering, and design teams to ensure insights make it to the product, • Scale your work to other parts of the data organization through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems Required Qualifications: • Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Economics, Computer Science, or other quantitative fields (If M.S. or Bachelors degree, a minimum of 6+ years of industry data science experience required; If PhD degree, a minimum of 4+ years of industry data science experience required), • Expert knowledge of SQL and relational databases, • Familiarity with statistical analysis and the preferred programming languages of the team (R / Python), • Demonstrated ability to influence and guide product strategy with data, • Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way, • Familiarity with causal inference techniques and causal models, • Excellent communication and experience working with senior leaders / stakeholders, • Entrepreneurial, self-directed, and enthusiastic about solving problems, • Demonstrated ability to mentor other data scientists and share best practices to elevate the data science practice at Reddit, • Conform in innovative and fast-paced environments, and have a bias toward action., • Can discuss complex topics with technical and non-technical audiences Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k Match, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Reddit Global Days off, • Generous paid Parental Leave, • Paid Volunteer time off #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is:$217,000—$303,900 USD Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at _.

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform. This role contributes to profitable growth by driving customer satisfaction, accelerating time to insights, and accelerating our time to value for customers. Ultimately, your work supports customer satisfaction, customer retention, and revenue growth from existing customers. Epistemix helps organizations forecast outcomes and manage risk by modeling how people behave. Our platform consists of two core products: Populus, which provides access to realistic, high-resolution synthetic population data, and Polaris, which enables scenario planning through advanced data science and simulation. Together, they empower customers to evaluate the potential impact of strategies before deploying them in the real world. Organizations across healthcare, consumer industries, insurance, and government use Epistemix to reduce uncertainty, optimize decisions, and accelerate time to value. Whether estimating total addressable market, testing public health interventions, or forecasting behavior change, our tools help teams make confident decisions when pre-existing data may not exist. Leading up to our Series B financing, we are hiring key roles onto the team and entering an exciting phase of growth and innovation. Join us to combine cutting-edge technology with a purpose-driven mission to make the world a better place. Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases Provide guidance for proposals on feasibility of scope and how to ensure impact Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform Engage with customer users to provide informal support, tips, and troubleshooting Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans Participate in reviews with customers to document and improve measurable impact Provide feedback to Product and Sales teams to align offerings with customer needs Follow advancements in data science, machine learning, and healthcare analytics Commitment to understanding customer needs and helping them achieve goals Creative mindset with a passion for tackling challenging problems with data Ability to collaborate with diverse users and internal teams Strong communication skills: verbal, code, visualizations, and maps Strong foundation in machine learning, data modeling, and predictive analytics Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred Comfort working in a dynamic environment with evolving priorities and customer needs Proficiency in Python and associated data science technologies Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools Expertise in SQL or NoSQL databases preferred 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience) Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field Experience with more than one company size or business stage preferred Must be legally authorized to work in the United States and not require employer sponsorship now or in the future. By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include: Equity & Incentives – Participation in our stock option program. Flexible Time Off – Autonomy to manage your schedule and work-life balance. Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees). Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference. This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.

Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking talented data scientists and machine learning engineers to develop automated methods for contextualizing data collected by our autonomous vehicles. This will enable us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and make a crucial impact on our development and business decisions! • Evaluate simulation test results to drive release & safety decisions., • Work independently with cross functional teams to develop software and system requirements., • Lead team code quality activities including design and code reviews., • Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations., • Provide technical guidance to team members. Success in this role typically requires the following competencies: • Expertise in analyzing high-dimensional simulation data., • Experience building ML prediction models., • Detail-oriented with a focus on validation, testing, and error detection., • Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May., • Excellent problem-solving skills with a meticulous approach to model architecture and optimization., • Ability to provide individual and team mentorship, including technical leadership for complex projects. Required • B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field., • 10+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithmic design and deep learning., • Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark)., • Demonstrated expertise in databases for data extraction, transformation, and analysis., • Proven experience building and managing large datasets and evaluations., • Hands-on expertise in architecting and training complex predictive machine learning models., • Prior experience in mentoring and supporting junior engineers. Desirable • Background in Autonomous vehicles, robotics, physics or related fields., • Hands-on experience working with simulation data. Benefits and Perks • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate., • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available., • Rich retirement benefits, including an immediately vested employer safe harbor match., • Generous paid parental leave as well as a phased return to work., • Flexible vacation policy in addition to paid company holidays., • Total Wellness Program providing numerous resources for overall wellbeing Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our _! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range $200,591 - $295,000 USD

Who We Are: HelioCampus was founded with the purpose of helping college & university leaders navigate today’s growing pressures. As one of EdTech’s most steadily growing companies, our roots in higher ed ground us in the critical nature of this work. What We Do: We help our clients navigate today’s high stakes with data and Institutional Performance Management practices. Together with our clients, we chart a path to sustainability by borrowing practices from the most successful businesses. How We Do It: We approach our work with a “we’re on it” attitude that the higher ed community has come to know and expect from our team. We’re data geeks to our core, committed to simplifying the toughest challenges and operating with transparency. Our most successful team members are change agents who love a challenge. How You'll Help: As a Data Scientist, you will partner with college and university stakeholders to turn business questions into data questions and deliver analyses, predictive models, reports, and AI/ML solutions that support institutional decision-making and student success. You will design and prepare analytical datasets, conduct exploratory and statistical analysis, develop and maintain machine learning and forecasting models, configure and deploy AI/ML products, build interactive dashboards, and clearly communicate insights to higher education leaders and staff. In this role, you’ll work independently and collaboratively with data scientists, analysts, engineers, and client stakeholders to deliver meaningful, actionable results across student success, institutional effectiveness, and operational efficiency. What You Will Do: Communicate with stakeholders to determine institutional goals, and design analyses and data visualizations to provide insight to complex business problems. Conduct exploratory data analysis in collaboration with subject matter experts to build and validate analytical datasets. Develop statistical and machine learning models (classification, time series, etc.) using a custom python framework to generate scores and forecasts. Present predictive modeling results and operational dashboards to end-users at colleges and universities to help them understand and make use of the findings and scores. Work with data science and data engineering teams to build data pipelines, improve internal systems, and deploy and maintain models in a production environment. Collaborate with other data scientists to share knowledge, develop best practices, and contribute to documentation, process standardization, and product development. Occasionally travel (typically 1-3 days at a time, ~3 times per year) to HelioCampus offices and client sites for meetings and presentations. You Will Be a Good Fit For This Role If You Have: Experience building analyses using educational industry data at a Higher Ed institution or EdTech company, especially in the areas of admissions, enrollment, financial aid, student success, institutional effectiveness, or finance/budget. 3+ years of experience delivering analytical insights to higher ed stakeholders, including building and evaluating machine learning models (python and scikit-learn experience required). Analytical dataset design and feature engineering skills (SQL and python). Ability to conduct, interpret, and explain statistical analyses. Experience using interactive data visualization and business intelligence tools (Tableau and/or Power BI) to design and publish interactive reports and dashboards, enabling data exploration and communication of analysis results. Excellent communication and collaboration skills, and experience working with both business users and technical development teams, as well as presenting findings to decision-makers. Ability to work effectively and independently in a remote role, managing multiple priorities and meeting deliverable deadlines. Understanding of model transparency & explainability concepts, and ethical issues in data science. Familiarity with production data pipeline and model deployment and management. Familiarity with relational database and data warehouse concepts. Familiarity with a variety of machine learning methodologies, forecasting techniques, and generative AI (LLMs). A tool-agnostic approach to data science: excitement for adopting new tools and techniques, while having solid fundamentals that underpin quick learning and high quality work delivery. Nice To Have’s Include: Advanced degree in an analytical/quantitative field (Comparable depth of experience can be substituted for quantitative field of study or advanced degree). Experience working with student data in PeopleSoft, Banner, Colleague, Workday, Slate, Salesforce/TargetX, or other higher ed-specific data systems. Experience working remotely with distributed teams and clients. Experience with version control (git), software development processes, object oriented programming, and machine learning framework development. MLOps experience deploying and maintaining production pipelines and models. Experience applying a wide range of supervised and unsupervised machine learning and forecasting techniques using a variety of python packages. Experience working with any of the following tools: jupyter notebooks, pandas, Docker, linux server/command line, EC2, S3, Amazon Redshift, airflow, SHAP, MLFlow, prophet, VS Code. Experience using AI tools/services to increase delivery efficiency without sacrificing quality (for example - having built enough depth of coding experience to critically evaluate AI-generated code and avoid introducing issues that lead to future rework). Experience with LLM Evaluation methods and frameworks. Projects You Will Work On: Developing classification models to predict admitted student yield, enrolled student retention, or on-time graduation, and presenting results to university leaders designing programs to improve student outcomes and support institutional success. Designing and publishing interactive dashboards to enable end-users to operationalize model results to make an impact at colleges and universities. Helping institutional stakeholders understand financial need and aid correlation with student success metrics. Forecasting enrollments using time-series methods to support budgeting and hiring decisions. Partnering with senior Data Scientists and other colleagues to improve our products and processes using new techniques, tools, and AI. Contributing to extensible python machine learning development and deployment framework. Documenting data pipelines, ML workflows, and deployed models for both internal teams and client end-users. Presenting webinars about our team’s work to current and prospective clients. Location: HelioCampus has two locations, Bethesda, MD and Chapel Hill, NC. This specific role is primarily remote, with occasional travel to an office or client site. Compensation and Benefits: HelioCampus offers employees a competitive salary along with paid time off, healthcare, vision, dental, 401(k) w/ company match, parental leave, remote work flexibility, home office perks, and a fun, collaborative work environment. What Sets Us Apart: 1. Commitment to Higher Education: We believe that serving higher ed makes the world a better place. This drives our desire to deliver high-quality products and services to help higher education institutions serve their students and communities. 1. Flexibility to Fit Your Life: HelioCampus employees enjoy the autonomy, freedom, and trust of a remote-first working environment. We embrace an “on it” mentality both in and out of the workplace, and employees are supported in pursuing personal and professional passions. 1. A Community of Bright Minds with Big Hearts: HelioCampus hires curious and talented practitioners who bring a diversity of thought and genuine care for one another and our clients to work every day. Our team members are more than a job description and are encouraged to show up as their full and authentic selves. What We Believe: HelioCampus is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Disclaimer: The list of responsibilities described above is not comprehensive. Other tasks not mentioned here may be required. Changing business conditions may trigger changes to job responsibilities. This job description is not an employment contract. Physical Qualifications: This position requires the following physical qualifications to support a productive remote work environment. We are dedicated to providing reasonable accommodations for individuals with disabilities to perform the essential functions of this role. If you require accommodations, please discuss this during the application process. Vision: Sufficient visual acuity to read documents, view computer screens, and engage in tasks that require attention to detail. Hearing: Ability to communicate effectively in person (as applicable) and via phone or video conferencing, ensuring clear understanding of verbal instructions. Fine Motor Skills: Proficient use of hands for typing, using a mouse, and managing office equipment such as printers and scanners. Lifting: Occasional lifting of up to 10 pounds (e.g., office supplies or equipment).

Fully Remote Position Preferred Locations: Midwest based: Indianapolis, IN or IL, Chicagoland Area preferred Who We Are: K1x is the leading data distribution platform for alternative investments. Simply put, our mission is to digitize the K-1 ecosystem. Our AI-powered K-1 extraction technologies surpass all other competition and we’re the first to produce a digital K-1. Learn more at _ About the role: We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in natural language processing (NLP) and extensive experience working with unstructured and semi-structured data such as financial statements and tax documents. As a Machine Learning Engineer, you will play a critical role in developing and implementing machine learning models that enhance our software’s ability to accurately and efficiently process partnership accounting and tax documents. If you are an experienced Machine Learning Engineer or Data Scientist looking for an exciting opportunity to work on challenging problems and deliver machine learning products, we would love to hear from you. Join our team and help shape the future of alternative investments management and distribution! • Develop and optimize machine learning models for parsing, extracting, and categorizing data in PDF tax documents., • Collaborate with cross-functional teams to integrate machine learning solutions into our software products., • Apply statistical analysis to identify signals, trends, and insights that can inform product development., • Mentor and guide junior data scientists and team members, fostering a collaborative and innovative work environment., • Masters’ or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field, • 6+ years of relevant industry experience as a data scientist, with a focus on NLP/NLU projects, • Demonstrated experience leading end-to-end data science project implementations, • Excellent problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences, • Proficiency in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spaCy, Huggingface) Qualifications: • Masters’ or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience, • 6+ years of relevant industry experience as a data scientist, with a focus on NLP/NLU projects, • Demonstrated experience leading end-to-end data science project implementations, • Excellent problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences, • Proficiency in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spaCy) Preferred experience: • Previous experience with applications of NLP to financial documents, • Familiarity with alternative investment accounting needs, • Experience deploying machine learning models using containerization and orchestration technologies, • Unlimited Vacation Policy + Sick Time + Holidays, • Paid Parental Leave, • Fully Remote Opportunity, • Healthcare Benefits and 401K, • Growing Startup Culture

About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 450 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world. About the role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities: • Lead a team of data scientists to develop innovative solutions to complex business problems., • Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Responsible for developing, implementing, and managing the end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability. Requirements of the role: • Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • 6+ years experience in Data Scientist or Machine learning., • Strong programming skills in languages such as Python, • Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow, • Experience with cloud compute environments such as AWS, GCP, Azure, • Experience leading data science teams., • Ability to work independently and manage multiple projects simultaneously., • Strong problem-solving skills and attention to detail., • Excellent communication skills both written and verbal., • Experience in industries such as finance, healthcare, e-commerce, retail, or marketing is a plus.Nice to have:, • R, C++, and SQL. Gen AI Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation., • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).Please read carefully the restrictions before applying.

About the Manager, Data Analytics at Headspace: What you will do: • Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities., • Define and execute the vision for data analytics, ensuring alignment with company goals and objectives., • Provide thought leadership by collaborating with Product, Engineering, Marketing, and Operations to translate complex business problems into scalable analytical frameworks., • Recommend and implement actionable insights that drive measurable results and optimize key business metrics., • Serve as the organization’s subject matter expert on advanced statistical analysis, experimental design, methodology, and financial impact analysis, ensuring best practices are followed., • Guide the team in executing A/B testing strategies, data modeling, and predictive analytics to inform decision-making. • Lead root cause analyses for critical business metrics, crafting structured approaches to identify and address key drivers. Facilitate discussions with senior stakeholders and teams to prioritize and implement optimization strategies that drive efficiency and growth., • Architect and implement automation solutions for analytical processes, including experimentation readouts and self-service analytics, improving scalability and efficiency., • Drive innovation in reporting and data accessibility to empower stakeholders with real-time insights., • Lead the development of high-quality data product requirements, dashboard scopes, and automated reporting solutions. • Build strong partnerships with Data Engineering, Business Intelligence, and other data stakeholders to enhance data infrastructure and accessibility., • Partner with Business Intelligence engineering teams to drive both immediate data initiatives and the long-term vision for data-driven reporting and metric frameworks., • Advocate for the adoption of best-in-class analytics tools, methodologies, and governance practices., • Independently identify opportunities for improvement or growth, initiate projects, and lead them to successful outcomes with measurable impact., • Establish and refine analytical processes to ensure consistency, accuracy, and scalability across the organization., • Deliver compelling presentations to cross-functional teams and executive leadership, showcasing data-driven insights with clarity and precision., • Effectively communicate complex analytical findings in a way that drives strategic decision-making and organizational alignment., • Supervise a team of Staff Engineers, Staff/Sr. Data Analysts, and Capacity Planning Sr. Manager., • Telecommuting permitted pursuant to company policy. What you will bring: Required Skills: • Education Requirements: Bachelor’s degree or foreign equivalent in Computer Science, Statistics, Mathematics, Business Analytics, or related quantitative field., • Experience Requirements: Five (5) years of experience as a Lead Data Analyst, Lead Business Analyst, Product Data Analyst, Data Scientist, or related occupation., • Must have experience with the following: working directly with executive leadership and product leaders to align analytics with strategic goals; analytics focused on customer growth, engagement, and lifecycle optimization; owning and managing data products; big data technologies (Redshift, S3, Databricks, Datalakes, and Spark); and SQL, Python, R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel.) Location: We are currently hiring this role remotely in the greater Los Angeles, California area. Candidates must permanently reside in the US full-time. Pay & Benefits: The anticipated new hire base salary range for this full-time position is $158,900 - $224,250 + equity + benefits. Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. Your recruiter will provide more details on the specific salary range for your location during the hiring process. At Headspace, base salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process. About Headspace Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and truly accessible whenever and wherever they need it. At Headspace, our values aren’t just what we believe, they’re how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They’re our shared commitment to building a more connected, human-centered team—one that’s redefining how mental health care supports people today and for generations to come. Why You’ll Love Working Here: • A mission that matters—with impact you can see and feel, • A culture that’s collaborative, inclusive, and grounded in our values, • The chance to shape what mental health care looks like next, • Competitive pay and benefits that support your whole self How we feel about Diversity, Equity, Inclusion and Belonging: Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out _ if you need any assistance completing any forms or to otherwise participate in the application or interview process. Headspace participates in the _. Privacy Statement All member records are protected according to our_. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship—including, for example, a managerial relationship. As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm. For how how we will use the personal information you provide as part of the application process, please see: _

What We Do Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world. IntelliScript attracts top candidates with its innovative, collaborative, and entrepreneurial atmosphere focused on excellence, outstanding customer service, balance, and transparency. Everyone’s opinion counts here, and we motivate each other to explore our full and varied potential. Our steady growth means there are ongoing opportunities for you to expand your skills, take on new responsibilities, and advance in your career. Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our for a closer look at our company, and learn more about our cultural values . Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our _ to learn more about Milliman’s commitments to our people, diversity and inclusion, social impact, and sustainability. What this position entails IntelliScript’s Data has been a key part of our success and is critical to our future. In this position as a Staff Data Engineer of IntelliScript’s Data Platform, you will be a trusted advisor across leadership and engineering team, responsible for technical decisions. You will ensure data systems work together across our hybrid environments with a focus on scale and performance. You will lead technical and architecture decisions in collaboration with architecture and data engineering teams while ensuring compliance with industry-leading data privacy standards. What you will be doing • Acts as a subject matter expert and thought leader within the Data Platform Domain, • Data Strategy: Serves as a thought leader in data processing design and implementation, defining advanced structure for moving, storing, and maintaining high-quality data, • Team Leadership: Leads projects by managing timelines, coordinating teams, and communicating project statuses. Influences organizational direction through effective leadership and strategic collaboration, • Data Governance and Security: Serves as a subject matter expert on governance standards, continuously aligning data practices with evolving industry best practices and requirements, • Project Management and Scope of Work: Contributes to defining the overall vision and strategy for data engineering within the organization, ensuring alignment with organizational goals and long-term objectives, • Results Orientation: Establishes visionary goals, advises on strategic plans, employs advanced monitoring, influences high-level stakeholders, and delivers transformative results, • Data Platform: Expansion of our Data Warehouse(s) and Lakehouse solutions for a healthcare data focused enterprise, • Data Governance: Configuring and maintaining unity catalog to enable enterprise data lineage, data quality, auditability and data stewardship, • Data Security: Building out Data Security protocols and best practices including the management of identified and de-identified (PHI/PII) solutions, • Access Management: Always ensure a policy of least privilege is followed for anything being implemented, • External Data Products: Building data solutions for clients while upholding the best standards for reliability, quality, and performance, • ETL: Building solutions within Delta Live Tables and automation of transformations, • Medallion Architecture: Building out performant enterprise-level medallion architecture(s), • Streaming and Batch Processing: Building fit-for-purpose near real-time streaming and batch solutions, • Large Data Management: Building out performant and efficient enterprise solutions for internal and external users for both structured and unstructured healthcare data, • Platform Engineering: Building out Infrastructure as Code using Terraform and Asset Bundles, • Costs: Working with the business to build cost effective and cost transparent Data solutions, • Pipeline/ETL Management: You will help architect, build, and maintain robust and scalable data pipelines, monitoring, and optimizing performance, • Experience working with Migration tools i.e. Fivetran, AWS technologies and custom solutions, • Identify and implement improvements to enhance data processing efficiency, • Design and implement reliable and resilient Event Driven data processing, • Experience with building out effective pipeline monitoring solutions, • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Delta Live Tables, Python, Scala, and cloud-based ‘big data’ technologies, • API Development: Drive our design and implementation of internal APIs for integrating data between different systems and applications, • Integration with external systems utilizing API driven processes to ingest data, • Develop APIs built on top of datasets for internal systems to consume data from Databricks, • Experience integrating with external APIs including but not limited to Salesforce, Financial systems, HR systems and other external systems, • Data Modeling: Lead design, implementation, and maintenance of standards based (FHIR, OMOP, etc.) and efficient data models for both structured and unstructured data, • Assemble large, complex data sets that meet functional and non-functional business requirements, • Develop and maintain data models, ensuring they align with business objectives and data privacy regulations, • Collaboration: Partner internally and externally with key stakeholders to ensure we are providing meaningful, functional, and valuable data, • Effectively work with Data, Development, Analysts, Data Science, and Business team members to gather requirements, propose, and build solutions, • Communicate complex technical concepts to non-technical stakeholders and provide guidance on best practices, • Ensure that technology execution aligns with business strategy and provides efficient, secure solutions and systems, • Gather requirements and build out project plans to implement those requirements with forecasted efforts to implement, • Processes and Tools: Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc., • Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics, • Create data tools for clinical, analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader, • Lead investigation of new tooling, develop implementation plans, and deployment of necessary tooling What we need • 15+ years of relevant experience in design, development, and testing of Data Platform solutions, such as Data Warehouses, Data Lakes, and Data Products, • Expert level experience working in Databricks and AWS, • Expert level experience working in both relational and non-relational databases such as SQL Server, PostgreSQL, DynamoDB, DocumentDB, • Experience managing and standardizing clinical data from structured and unstructured sources, • Experience building and managing solutions on AWS, • Expert knowledge in healthcare standards including FHIR, C-CDA, and traditional HL7, • Expert knowledge in clinical standards/ontologies including ICD10/SNOMED/NDC/LOINC/Rx Norm, • Expert in building out data models, data warehouses, designing of data lakes for enterprise and product use cases, • Familiarity with designing and building APIs, ETL and data ingestion processes and utilization of tools to support enterprise solutions, • Experience in performance tuning, query optimization, security, monitoring, and release management, • Experience working with and managing large, disparate, identified and de-identified data sets from multiple data sources, • Experience with building and deploying IAC using terraform, asset bundles and GitHub, • Experience collaborating with Data Science teams and building AI based solutions to drive efficiencies and business value What you bring to the table • Demonstrated “let’s find a way to do it” attitude – no task is too big or too small, • Effective collaboration and communication across multiple technical and non-technical disciplines, • Comfortable working through ambiguous situations, • Able to teach & mentor others on new/emerging technologies, • Customer obsessed with a business-centric focus, • Able to understand both strategic and tactical needs and balance appropriately, • Driven, thorough and self-directed, • Able to lead through influence and persuasion, • Curiosity to explore industry trends and drive the organization to utilize fit for purpose solutions Wish list • Bachelor's degree or master's degree in computer science, data engineering or related field, • Health and Life Insurance business experience, • Professional level solution architecture certification in AWS Location The expected application deadline for this job is June 30, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events. Compensation The overall salary range for this role is $131,600 - $249,780. For candidates residing in: • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $151,340 - $249,780., • All other locations the salary range is $131,600 - $217,200. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. Benefits We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include: • Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners, • Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges, • 401(k) Plan – Includes a company matching program and profit-sharing contributions, • Discretionary Bonus Program – Recognizing employee contributions, • Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses, • Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis, • Holidays – A minimum of 10 paid holidays per year, • Family Building Benefits – Includes adoption and fertility assistance, • Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria, • Life Insurance & AD&D – 100% of premiums covered by Milliman, • Short-Term and Long-Term Disability – Fully paid by Milliman Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Location: US remote-friendly or any office location - SF, LA, CHI, NY The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with our cross-functional partners (Product, Engineering, Designer, Marketing, Business Development etc.) to help us build and improve the systems that continuously drive our user and revenue growth. As a Senior Data Scientist on the team, you will have the opportunity to play a significant role in driving the success of key product areas at Reddit (Consumer, Ads, Safety etc.). You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research. This person will be an industry technical leader with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills. You will go through a general Data Scientists hiring process and get matched to the product area that best fits your background and interest. Responsibilities: • Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations, • Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests, • Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly, • Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate team impact, • Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes, • Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making Required Qualifications: • Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research, • For M.S. holders: 5+ years of industry experience in applied science or data science roles, • For Ph.D. holders: 4+ years of industry experience in applied science or data science roles, • Expertise in querying relational databases (SQL) and programming languages (e.g., R / Python), • Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques, • Comfortable in innovative and fast-paced environments, and a bias toward action, • Strong technical communication / data storytelling skills and demonstrated ability to discuss complex topics with technical and non-technical audiences alike, • Able to tackle ambiguous and undefined problems by creating an action plan, getting feedback, and iterating Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #LI-Remote #LI-NH1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Prominence Advisors is actively seeking a Senior Data Scientist to join our team. Who We Are Prominence is a healthcare and life sciences technology and consulting firm dedicated to helping leading organizations do more with their data. With deep expertise across the full ecosystem — spanning providers, payers, and life sciences — we turn complex data into actionable insight. We deliver a full spectrum of services, including advisory, analytics, optimization, and IT staffing. Our work helps organizations operate more efficiently, improve patient outcomes, and deliver measurable financial impact through smarter use of data. Recognized as a 2x Best in KLAS organization, we partner with more than 120 health systems and 40 life sciences organizations, including 7 of the top 10 U.S. News & World Report-ranked institutions. Through our life sciences brands, Tegra Analytics and WLH Consulting & Learning Solutions, we extend these capabilities to pharmaceutical and biotech organizations — combining data, consulting, and learning to advance commercial excellence. By connecting strategy, data, and execution, we help organizations translate data into clarity, strategy into action, and vision into measurable results. At our core, we are a people-first, values-driven organization that believes strong teams and trusted partnerships are what ultimately make healthcare and life sciences smarter. Job Summary Prominence is looking for a Senior Data Scientist with deep experience in applied machine learning, statistical modeling, and generative AI to help deliver advanced analytics solutions alongside some of the nation's leading healthcare providers. This role will design, build, and deploy models and AI-powered applications that help healthcare organizations improve patient outcomes, optimize operations, and accelerate research. Helping our customers harness the power of generative AI by building LLM-powered applications that unlock new possibilities for clinical and operational workflows. • Design, build, validate, and deploy machine learning models across the full data science lifecycle, including exploratory analysis, feature engineering, model development, validation, deployment, and monitoring., • Develop advanced analytics solutions for clinical prediction, population health, operational optimization, and research enablement., • Build AI-powered applications leveraging LLM APIs, prompt engineering, and RAG pipelines to support clinical and operational workflows., • Ability to work with diverse healthcare data sources including EHRs, claims, and clinical registries., • Translate complex analytical findings into meaningful, actionable insights for clinical and operational stakeholders., • Manage documentation of best practices and scalable frameworks that can be applied across client engagements., • Mentor and guide client counterparts to build the skills needed to sustain and expand on project deliverables. Minimum Qualifications • 3–5+ years of professional experience in data science, machine learning, or a closely related quantitative role., • Strong proficiency in Python for data science (pandas, NumPy, scikit-learn) and SQL for data extraction and manipulation., • Hands-on experience building, validating, and deploying machine learning models (classification, regression, clustering, time-series forecasting)., • Experience with MLOps best practices (model versioning, CI/CD for ML, experiment tracking with MLflow or similar, continuous monitoring)., • Practical experience building AI-powered solutions using LLM APIs, prompt engineering, and RAG pipelines., • Experience with cloud-based data and ML platforms, including at least one of the following: AWS (SageMaker, Redshift, S3), Azure (Azure ML, Synapse, Data Factory), GCP (Vertex AI, BigQuery), Databricks, or Snowflake., • Strong communication skills with the ability to present technical findings to non-technical audiences. Desired Qualifications • Healthcare industry knowledge and experience including EHR data, claims, HL7/FHIR, clinical terminologies., • Experience with population health analytics, risk stratification, or social determinants of health., • Understanding of research enablement workflows including cohort identification, clinical trial matching, and outcomes research., • Experience with vector databases, embeddings, fine-tuning, or LLM evaluation frameworks., • Familiarity with data visualization and BI tools (Tableau, Power BI, or Looker)., • Revenue cycle, staffing optimization, or other operational analytics experience., • Advanced degree (Master's or PhD) in a quantitative field such as computer science, statistics, biostatistics, or a related discipline Skills, Knowledge, and Abilities • Professional: Demonstrates a high degree of professionalism by treating others with respect, keeping commitments, building trust within the team, working with integrity, and upholding organizational values ("Do Great Work and Move Mountains”)., • Organized: Capable of managing multi-faceted work streams efficiently, ensuring smooth project flow., • Self-Motivated: Adept at managing personal schedules, meeting deadlines, and monitoring work quality independently., • Highly Adaptable: Quickly acclimates to new project assignments and diverse work environments., • Creative: Approaches problems with a solution-oriented mindset, working collaboratively to find novel solutions., • Communication: Effectively conveys clear and concise messages that resonate with the intended audience, both in written and verbal forms., • Proactive: Anticipates potential issues, addresses concerns before they escalate, and effectively raises them when necessary., • Team-Oriented: Passionate about mentoring and guiding others, thrives in a team-based environment. Physical and Medical Standards, Working Conditions and Environment • Must be able to sit or stand at a computer and work remotely and independently from personal home office, • Willingness to travel for onsite meetings and business reviews as needed Hours Worked This is a Full Time, 40 hour per week position. This role is part of our active pipeline for upcoming client engagements and is contingent on project availability, with timing aligned to client demand. Prominence is dedicated to hiring the best and brightest minds in healthcare and maintaining a culture that rewards our employees for following their passion. We are excited to offer the following benefits for this position: • Competitive Salaried and Hybrid Compensation Plans, • Health Care Plan (Medical, HSAs, Dental & Vision), • Retirement Plan (401k), • Life Insurance (Basic, Voluntary & AD&D), • Dependent & Health Savings Accounts, • Short Term & Long Term Disability, • Paid Time Off (Vacation/Sick & Public Holidays), • Training & Development Fund, • Work From Home, • Charitable Giving to Causes You Believe In Must be legally authorized to work in the United States without sponsorship. The world’s most talented professionals come from every background. All applicants will be considered for employment without attention to age, race, color, religion, gender identity and/or expression, sexual orientation, national origin, marital status, veteran or disability status, or any other characteristic protected by law. In addition, Prominence will provide reasonable accommodations for qualified individuals with disabilities. If you are smart and good at what you do, come as you are. All qualified candidates are encouraged to apply. Our partnerships are extremely important to us. This online application is not intended for anyone who is currently under a non-compete agreement or has an arrangement that precludes employment at Prominence. We appreciate your help in respecting our partners. Interested in learning more? Apply below to connect with our Talent team about immediate openings and future consulting projects.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Reddit is continuing to grow our teams with the best talent. This role is_ within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. Reddit is poised to innovate and grow like never before, and user safety is a critical accelerant of that growth. The Safety org is Reddit’s central Trust & Safety organization whose mission is to protect good users from bad experiences by stopping harmful content and behaviors across the site. We are looking for a Staff Data Scientist to join our Safety Insights Data Science team. In this role, you will partner closely with Safety Product, Engineering, and Machine Learning teams along with fellow Safety data scientists, to shape strategy, product development, define and evolve safety metrics, and drive analytics for some of the most important decisions in the Safety org. You will lead efforts to shape the measurement strategy for user safety, establish frameworks to quantify and monitor safety experiences, and evaluate the impact of interventions designed to protect Reddit’s communities. You will identify and prioritize opportunities for innovation, using rigorous analyses to size the potential impact of new initiatives and help the organization focus on the highest ROI areas to improve the safety experience at scale. Your work will guide decision-making and shape the strategic direction of Reddit’s safety efforts, ensuring that user safety remains a cornerstone of Reddit’s growth. The Safety org is one of Reddit’s largest divisions. Safety Insights works horizontally across it to provide scientific insight for product development, scaled abuse detection and mitigation, threat intelligence, and safety operations. We think big to innovate, unravel hard problems that cut across safety domains, and guide product development to protect our users from bad experiences while supporting Reddit’s long-term health and growth. Reddit has a remote-friendly work environment. If you live near one of our physical offices, our doors are open for you to come in as often as you’d like. Don’t live near an office? You can apply to work remotely from anywhere in the United States. Responsibilities: • Lead the measurement strategy for user safety by defining metrics, frameworks, and dashboards that quantify and monitor safety experiences across Reddit., • Use data and science-backed methods to inform the strategic direction of Safety product development and to rigorously assess the impact of product launches and policy or enforcement changes., • Design and execute experiments and quasi-experimental / inferential causal analyses (e.g., difference-in-differences, synthetic controls, matching) to estimate the impact and ROI of safety initiatives, and use these results for opportunity sizing and prioritization., • Own the design, development, and maintenance of scalable models and prototypes leveraging statistical, machine learning, or GenAI methodologies to improve Reddit safety., • Tactically support product development and go-to-market, from problem framing and exploratory analysis through to experimentation, launch evaluation, and post-launch monitoring., • Stay current on advances in ML, LLMs, and related methods, and evaluate where they can meaningfully improve abuse detection, risk identification, and enforcement workflows., • Translate complex analyses into clear narratives and recommendations for stakeholders, acting as a data storyteller who can influence decisions at all levels of the Safety and Moderation orgs., • Mentor and up-level junior Data Scientists and Analysts in technical approaches for detecting and mitigating abuse, fostering a culture of rigor and curiosity. Required Qualifications: • Relevant experiences in Data Science, Applied Science, or Economist roles, preferably for safety, enforcement engineering, fraud etc., • Ph.D. or M.S. degree in Statistics, Economics, Computer Science, Applied Mathematics or other quantitative fields (If M.S., a minimum of 8+ years of industry data science experience required; If PhD degree, a minimum of 4+ years of industry data science experience required), • Fluent with statistical analysis, programming languages (e.g., Python) and SQL., • Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action, • Strong technical communication and demonstrated ability to discuss complex topics with technical and non-technical audiences alike, • Able to tackle ambiguously defined problems and deconstruct them into precisely scopable components that can be meaningfully addressed with data Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #LI-SP1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 - $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Job DescriptionClinical Lab Scientist Specialty: Laboratory / Clinical Lab Scientist Location: Flushing, New York (NY) Duration: 59-Day Schedule: Monday–Friday | 9:00 AM – 5:00 PM Position Overview We are seeking a Clinical Lab Scientist to perform complex laboratory testing and analysis in a clinical laboratory setting. The ideal candidate will possess strong technical expertise, attention to detail, and experience working with laboratory information systems and quality assurance processes. Required Qualifications • Bachelor's Degree in Medical Technology or a related scientific field, • Active New York State Clinical Laboratory Technologist License issued by the NYS Department of Education, • Computer literacy and experience utilizing laboratory computer systems, • Strong communication and organizational skillsPreferred Qualifications, • Master's Degree in Medical Technology or a related science field, • ASCP CertificationRequired Skills, • Clinical Laboratory Testing, • Specimen Analysis, • Laboratory Information Systems (LIS), • Quality Control and Quality Assurance, • Instrument Operation and Maintenance, • Data Analysis and Reporting, • Laboratory Safety and Compliance, • Regulatory Standards AdherenceResponsibilities, • Perform laboratory testing and analysis on patient specimens, • Operate, troubleshoot, and maintain laboratory instrumentation, • Ensure accuracy and reliability of test results, • Maintain quality control and quality assurance standards, • Document and report laboratory findings accurately, • Comply with laboratory policies, procedures, and regulatory requirements, • Collaborate with laboratory personnel and healthcare teams For more details reach at sthakur@navitashealth.com or Call / Text at 732 791 4807 - EXT 4807.

Research Scientist / Machine Learning Scientist Location: SF Bay Area/Hybrid / Remote Type: Full-Time About the Role: The Client is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models. You’ll help design and analyze experiments that uncover what makes models useful, trustworthy and capable through human preference signals. Your work will contribute to the scientific foundations of understanding AI at scale. This role is deeply interdisciplinary. You’ll work closely with engineers, product teams, marketing and the broader research community to develop new methods for comparing models, analyzing preference data, and disentangling performance factors like style, reasoning, and robustness. Your work will inform both the public leaderboard and the tools we provide to model developers. If you’re excited by open-ended questions, rigorous evaluation, and research that’s grounded in real-world impact, you’ll find a meaningful home here. We’re looking for: • Hands-on experience training large-scale models, including reward models, preference models, and fine-tuning LLMs with methods like RLHF, DPO, and contrastive learning., • Strong foundation in ML and statistics, with a track record of designing novel training objectives, evaluation schemes, or statistical frameworks to improve model reliability and alignment., • Fluent in the full experimental stack, from dataset design and large-batch training to rigorous evaluation and ablation, with an eye for what scales to production., • Deeply collaborative mindset, working closely with engineers to productionize research insights and iterating with product teams to align modeling goals with user needs. Responsibilities: • Design and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensions, • Develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks, • Analyze large-scale human voting and interaction data to uncover insights into model performance and user preferences, • Collaborate with engineers to implement and scale research findings into production systems, • Prototype and test research ideas rapidly, balancing rigor with iteration speed, • Author internal reports and external publications that contribute to the broader ML research community, • Partner with model providers to shape evaluation questions and support responsible model testing, • Contribute to the scientific integrity and transparency of the The Client leaderboard and tools Who is The Client? Created by researchers from_, The Client is an open platform where everyone can easily access, explore and interact with the world’s leading AI models. By comparing them side by side and casting votes for the better response, the community helps shape a public leaderboard, making AI progress more transparent, and grounded in real-world usage. Why Join Us? Trusted by organizations like Google, OpenAI, Meta, xAI, and more, The Client is rapidly becoming essential infrastructure for transparent, human-centered AI evaluation at scale. With over one million monthly users and growing developer adoption, our impact is helping guide the next generation of safe, aligned AI systems—grounded in open access and collective feedback. Our work is regularly referenced by industry leaders pushing the frontier of safe and reliable AI.,,, and. • High Impact: Your work will be used daily by the world’s most advanced AI labs., • Global Reach: Develop data infrastructure powering millions of real-world evaluations, influencing AI reliability across industries at the top-tier, • Exceptional Team: We are a small team of top talent from Google, DeepMind, Discord, Vercel, UC Berkeley, and Stanford. Requirements: • PhD or equivalent research experience in Machine Learning, Natural Language Processing, Statistics, or a related field, • Strong understanding of LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback) Proficiency in Python and ML research libraries such as PyTorch, JAX, or TensorFlow • Demonstrated ability to design and analyze experiments with statistical rigor, • Experience publishing research or working on open-source projects in ML, NLP, or AI evaluation, • Comfortable working with real-world usage data and designing metrics beyond standard benchmarks, • Ability to translate research questions into practical systems and collaborate across engineering and product teams, • Passion for open science, reproducibility, and community-driven research What we offer: • The cash compensation for this position has not yet been finalized. Actual compensation will depend on job-related knowledge, skills, experience, and candidate location., • Competitive salary and meaningful equity, • Comprehensive healthcare coverage (medical, dental, vision), • The opportunity to work on cutting-edge AI with a small, mission-driven team, • A culture that values transparency, trust, and community impact Come help build the space where anyone can explore and help shape the future of AI.

At Trella Health, we are passionate and committed to our mission: empowering meaningful change in healthcare. Since our founding in 2015, we continue to grow our team, enhance our solution and services offerings, accelerate into new markets, and expand our customer base. We are rapidly growing and are looking for new Trellavators to join our team! “What is a Trellavator?” you ask. Innovate and elevate is the name of our game! We go above and beyond to collaborate with and support each other. We believe that when a colleague or customers succeeds, we succeed. By learning from others, building on our successes, and taking risks, we constantly raise the bar. After all, continuous improvement is in our DNA. Our word is paramount, we keep our commitments, and we always follow through. We have a strong, reliable support system that fuels growth, collaboration, and passion—and together, we create a positive environment where everyone at Trella Health, including the customers we support, can thrive. Are you ready to learn more about the opportunities with our team? Trell-yeah you are! Position Overview: We are looking for a Senior Data Scientist to join our Data Science & Engineering team. In this role, you will be responsible for turning medical and pharmacy claims data into measures and actionable insights within our software as a Service (SaaS) solution. You will utilize your strong quantitative analysis, SQL, and Python skills to create and analyze scripts to compute metrics and impact downstream data sets. You will work cross-functionally with the data engineering, product, and data quality teams to ensure our data pipelines are accurate, efficient, and high quality. We're looking for someone who is intellectually curious and passionate about continuous learning, especially when solving problems within healthcare data. Location: This role is remote with a strong preference for candidates within commuting distance of Atlanta, GA; Philadelphia, PA; or Nashville, TN. We will also consider applicants based in other U.S. locations. Reports to: Director of Data Science As a Senior Data Scientist at Trella, you will: • Work with vast national datasets of medical and pharmacy claims data to interpret, analyze, and build datasets that deliver actionable insights to Trella’s proprietary solutions., • Design, build, and maintain scalable Databricks workflows and jobs for processing healthcare claims data., • Develop and optimize PySpark and SQL pipelines for performance, reliability, and efficiency., • Implement data quality monitoring and validation frameworks to ensure completeness, accuracy, and consistency of claims data., • Support modernization by refactoring legacy SAS scripts into Databricks., • Act as a subject matter expert on healthcare data sources, calculations, and methodologies., • Collaborate with the product team to size and scope new analytic projects, defining specifications and requirements., • Continuously enhance your knowledge of the healthcare industry through independent research and professional development. This job might be a fit for you if you have: • 5+ years of experience in data science, preferably within healthcare space., • Advanced SQL and Python skills (e.g. writing complex data processing scripts and automating workflows)., • Experience working with Databricks, including Spark SQL and PySpark for analytics, data modeling, and machine learning workflows., • A deep understanding of data lineage to track and visualize data dependencies, identifying upstream/downstream impacts., • Experience with statistical modeling including regression, imputation techniques, and risk scoring., • Strong knowledge of medical claims data (e.g., Medicare, Medicaid, Commercial) as well as medical coding systems (ICD10, CPT, HCPCS, MS DRG, NPPES NPI)., • Excellent problem-solving, time management, and communication skills., • Familiarity with software development tools like Jira, Confluence, and Bitbucket., • A passion for using data to improve healthcare and a love for solving complex problems., • Bachelor's or Master’s degree in a technical field or equivalent experience. About Trella Health: Trella Health provides unmatched, actionable market intelligence to post-acute care and value-based care providers of all sizes. Our industry leading analytics paired with CRM and EHR integration workflows positions us as the most advanced sales enablement platform for the post-acute care market. One of only a few companies to be deemed both a Qualified Entity by CMS and an Innovator under its Virtual Research Data Center Program, Trella has elite access to billions of performance metrics and referral data to enable competitive positioning across the market. Its standardized insights, representing 90% of all lives 65+ U.S. population, help customers identify, engage, and manage critical relationships and advance their organizations with certainty. Since launching our first product in 2016, we have experienced tremendous growth and have highlighted a few key data points to get an at-a-glance view of Trella: • Over 1,000 customers including 10 of the top 10 post-acute providers and 4 of the top 10 health systems, • Over 150 team members and growing, • Recognized as one of Modern Healthcare’s “Best Places to Work” in consecutive years and were ranked in the Top 50 startups in the US by LinkedIn, • Headquartered in Atlanta, GA with remote hubs in Nashville, Philadelphia, the Philippines, and Latin America. The Trellavator Experience: At Trella Health, you can expect to join a welcoming team that truly embodies our core values. Our collaborative culture is anchored by trust, transparency, and inclusion—and we also have a lot of fun. No matter where you work, at Trella Health you can expect an awesome team, frequent virtual gatherings, engaging events, casual attire, and more. We offer competitive salaries with a comprehensive benefits package to all employees and provide an environment that fosters work-life harmonization with Flexible Paid Time Off, along with remote-first work arrangements. As we continue to see exponential growth, our goal is to continue to put team members first and strive to offer our team members the best culture and benefits possible. Some of the benefits we provide are: • Health, Dental, Vision & Voluntary Benefits, • Competitive Salary & Bonus Plans, • 401k Retirement Savings, • Flexible PTO & 10 Paid Holidays, • Flexible Work Hours, • Equity Shares, • Paid Leave Programs, • Marketplace for discounted retail and entertainment Equal Opportunity Employer Trella Health is an equal opportunity employer. All persons will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, handicap, veteran status, genetic information, or any other protected status as recognized by federal, state, or local laws.

Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of U.S. adults do not have the health literacy necessary to navigate it without help. Solace cuts through the red tape of healthcare by pairing patients with expert advocates and giving them the tools to make better decisions—and get better outcomes. We're a Series C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our U.S. based team is lean, mission-driven, and growing quickly. Solace isn't a place to coast. We're here to redefine healthcare—and that demands urgency, precision, and heart. If you're looking to stretch yourself, sharpen your edge, and do the best work of your life alongside a team that cares deeply, you're in the right place. We’re intense, and we like it that way. Read more in our Bloomberg funding announcement _. At Solace, data isn't just about understanding the past; it's about predicting the future. We are a rapidly scaling startup where we work hard, move fast, and wear many hats. The Solace Data Team is looking for a Data Scientist who excels at forecasting, prediction, and machine learning to help us anticipate patient needs and optimize our operations. Reporting directly to the VP of Data, you will have the opportunity to lead high-impact projects that directly influence our strategic decision-making. In this role, you will go beyond descriptive analytics to build the predictive engines that drive our business. Whether you are forecasting operational volume, modeling patient risk, or designing rigorous A/B tests, you will bridge the gap between advanced statistics and practical business application, ensuring our models are robust, interpretable, and impactful. Build Predictive Models: Develop and refine machine learning models to solve critical business problems, such as predicting patient churn, estimating operational volume, or scoring advocate quality. Drive Forecasting Rigor: Own the development of time-series forecasts that guide our capacity planning and resource allocation. You will help us anticipate "what comes next" with higher accuracy. Design & Analyze Experiments: Lead the design and analysis of A/B tests and causal inference studies. You will ensure we measure the true impact of our product and operational changes. Uncover Deep Insights: Apply advanced statistical methods to complex datasets to find patterns that simple reporting might miss. You will answer the "why" and "how" behind our most difficult questions. Productionize Solutions: Work closely with Data Engineers to take your models from a local notebook to a production environment, ensuring they run reliably within our data infrastructure. Communicate Complexity: Translate complex statistical findings into clear, actionable narratives for non-technical stakeholders. You will be the voice of statistical reason in strategic discussions. Statistical Expertise: You have a strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression analysis, time-series forecasting). Python & ML Proficiency: You are fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy). You write clean, reproducible code. Forecasting Experience: You have hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing). Advanced SQL: You can write complex queries to wrangle your own data from Snowflake without relying solely on others to prepare it for you. Preferred Masters Degree or PHD: Data Science, Applied Science, or related fields. Data Privacy Awareness: You understand the importance of protecting patient data. You are familiar with best practices for handling PHI and PII and ensuring privacy in your analysis. Startup DNA: You are a self-starter who is comfortable with ambiguity. You take ownership of problems and are willing to wear many hats to get the job done. Deployment Experience: Experience using tools like Docker, Airflow, or MLflow to deploy and monitor models in production. Healthcare Experience: Experience working with healthcare or insurance claims data is a plus. NLP & Unstructured Data: Experience applying Natural Language Processing (NLP) techniques to extract insights from unstructured text data. Marketplace Matching: Experience designing matching algorithms or ranking systems for two-sided marketplaces. dbt & Engineering Skills: Comfort reading or writing dbt models to understand the lineage of your data. Applicants must be based in the United States. Up for the Challenge? We look forward to meeting you. Fraudulent Recruitment Advisory: Solace Health will NEVER request bank details or offer employment without an interview. All legitimate communications come from official solace.health emails only or _. Report suspicious activity to recruiting@solace.health or advocate@solace.health.

SmarterDx, a company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at . We’re seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. You’ll explore new datasets, build prototypes, monitor performance, and measure the product impact. This role offers a unique chance to take a leading role in delivering on an ambitious product roadmap using data to enhance the operational efficiency of healthcare providers. This role is fully remote within the US • Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions, • Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results, • Prototype analytics solutions and data products to accelerate product development, • Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications, • Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data, • Building, maintaining, and testing data models which support reporting and analytics., • Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning, • 3-5+ years' experience as a data analyst or product data scientist (or, if your y-intercept is lower, evidence that your slope is super steep), • Strong technical skills: querying data with SQL, transforming data with dbt to shorten time to insight, performing analysis with python, and communicating findings with compelling data visualizations, • Masters in statistics or other relevant fields preferred, • Ownership: Build and own features from start to finish., • Strategic mindset: strong ability to connect analytics to business understanding and provide actionable insights., • Scrappiness: Navigate ambiguity effectively, understanding when it’s necessary to piece solutions together on the fly, and be able to do so., • Product focus: How can we maximize the utility and value we deliver to our end users?, • Familiarity with experiment design and statistical analysis, • Experience with health system clinical and/or revenue cycle data is preferred, • Data Visualization: Hex and Evidence, • Analysis: Python & Data Science libraries (numpy, pandas, etc), • Pipelines: Snowflake, dbt, airflow, git, and AWS $160,000 - $190,000 #LI-Remote • Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan., • Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents., • Remote-First Team – Work from anywhere in the U.S., • Unlimited PTO & 10 Holidays – So you can relax and recharge., • 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match., • Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters., • Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.

About Axuall Built with leading healthcare systems, Axuall is a clinical workforce intelligence company built on top of a national real-time practitioner data network. It enables healthcare systems, staffing firms, telehealth organizations, and health plans to accelerate clinician onboarding, improve hiring and workforce planning, and maintain accurate provider data across enterprise systems. By delivering trusted data, AI-powered insights, and seamless data exchange, Axuall empowers healthcare organizations to improve operational efficiency, strengthen clinical coverage, and support revenue capture. Axuall's investors and the organizations they represent comprise over two dozen of the nation's leading healthcare organizations that recognize the imperative to improve clinical workforce efficiency amid significant economic and staffing challenges. About The Role Axuall is seeking an accomplished, energetic, and highly motivated Senior Data Analyst to join our Product team at a pivotal moment in our growth. This is a unique, high-impact role that sits at the intersection of product delivery and revenue generation: you will be responsible for key customer-facing insights and serve as a partner to our Sales team in winning new business. You'll work closely with Axuall's Data Scientist to develop advanced analytical insights into healthcare provider profiles using sophisticated modeling techniques. You'll bring that same rigor to customer-facing dashboards, utilization trends, and ROI storytelling across Axuall’s provider recruiting, credentialing, and directory management solutions. You will then carry it into presales, helping prospective health systems see, in their own data, what Axuall can do for them. The ideal candidate is highly detail-oriented, a self-starter, diligently organized, possesses excellent communication skills, and has a passion for excellence and values education, integrity, innovation, and success. What You’ll Do This role will focus on delivering data insights and analytics capabilities across Axuall’s customer base and go-to-market functions. You will be the analytical engine behind our customer-facing reporting, helping health systems understand the value Axuall delivers across provider recruiting, credentialing, and directory management. We are looking for people who feel comfortable taking on bold initiatives, who are both highly accountable and self-empowered. Some of the specific functions and responsibilities of this role include: Customer Product Delivery • Build and maintain customer-facing dashboards and reports that surface utilization trends, workforce insights, and automation ROI across provider recruiting, credentialing, and directory management, • Own the data analyst function across Axuall's customer-facing products, ensuring that reports, dashboards, and visualizations are accurate, insightful, and directly valuable to health system clients, • Translate complex provider workforce data into clear, intuitive visualizations that health system stakeholders, from operations to the executive suite, can act on Presales & Proof of Concept • Partner with the Sales team to produce data-driven proof of concept reports for prospective clients, demonstrating in their own data what Axuall's products can deliver, • Develop reusable POC templates and frameworks that scale consistently across the sales cycle Advanced Analytics & Data Science Collaboration • Work closely with and assist Axuall's Data Scientist in building complex analytical models and deep insights on clinicians and providers that are delivered directly to health system customers Data Source Analysis & Integration • Analyze new data sources to understand how they connect to Axuall's provider data model and evaluate how they can be leveraged across our products, • Document and communicate data relationships and integration opportunities to product and engineering teams Data Quality • Assist the data science and engineering teams in maintaining robust data quality standards across the platform, identifying anomalies, gaps, and inconsistencies before they reach customers What You’ll Bring Candidates for the Senior Data Analyst role must demonstrate hands-on experience and knowledge of industry best practices in the functions listed above. Specific requirements include: • 4+ years of experience in a Data Analyst, BI Analyst or similar role, • A deep understanding of healthcare data, especially claims data, provider specialties, referral, quality, and utilization dynamics. Familiarity with claims coding standards such as CPT, ICD, and UB-04 a plus., • Proficiency in SQL and at least one BI/visualization tool (Omni, Tableau, Looker, or equivalent), • Strong data wrangling skills and comfort working with messy, real-world datasets, • Experience building customer-facing dashboards or reports, including presenting findings to executive and operational audiences, • Ability to translate data findings into clear, non-technical business narratives for executive and operational audiences, • Experience supporting presales, solution engineering, or proof-of-concept functions is a plus, • Familiarity with healthcare data concepts (Claims data, credentialing data) is a plus, • Python or R for data analysis and automation is a plus, • Excellent written and verbal communication skills, • Possess a proven track record of taking ownership, taking initiative, and delivering results What You'll Get From Us We offer a wide range of benefits for our team including: • Comprehensive Health Insurance, • 401(k) with Employer Match, • Wellness Stipend, • Professional Development Reimbursement, • Work From Home Stipend, • Remote Work Flexibility, • Flexible PTO, • Paid parental leave In addition, Axuall is committed to fostering a diverse, equitable, and inclusive workplace that reflects the communities we serve and empowers every employee to reach their full potential. We encourage DEI through our Diversity in Tech (DiT) Employee Resource Group along with impactful programming that supports and fosters a place of belonging for our team members every day. Equal Employment Opportunity & Pay Equity Commitment Axuall is proud to be an equal-opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other legally protected characteristic. Axuall maintains pay-equity practices that prohibit reliance on salary history and require that compensation decisions be supported by legitimate, job-related factors. Interview Path • Talent Acquisition Interview, • CPO Interview, • Hiring Manager Interview, • Team Interview, • Case Study Reference Calls & Hiring Decision This role may be performed from any U.S. jurisdiction in which Axuall is registered to do business. Please note that certain localities may impose additional employment requirements that will be addressed during the hiring process. Please also note that we are currently unable to sponsor visas. While this role is remote-first, we require employees to attend an in-person orientation at our headquarters in Cleveland, Ohio. There may also be occasional instances where travel to our HQ is needed. Pay Transparency & Compensation Base Salary Range (Good-Faith Estimate): $115,000 - $130,000 Employment Classification: Full Time | Pay Frequency: Semi-monthly The posted range represents Axuall’s reasonable and good-faith estimate of the compensation the Company expects to pay for the position at the time of this posting. Actual compensation will be based on factors such as job-related knowledge, skills, experience, and internal equity.

At Braviant, we believe in hiring great talent and offering them the flexibility to achieve great results unbounded by geography. Braviant is offering a fully remote option for anyone in the U.S. who wants to join our team and help us grow. We also have an office space in the heart of downtown Chicago for those who prefer to get out of the house and collaborate with some colleagues in person. Who we are:Braviant is a leading provider of tech-enabled credit products that combines breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime to help millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work by Crain’s Chicago, BuiltIn Chicago and American Banker. We are building and scaling a high-performance consumer lending platform and are looking for a Senior Data Scientist to drive credit decisioning across the loan lifecycle. This role sits at the intersection of credit strategy, fraud, and analytics, directly impacting approval strategy, loss performance, and portfolio profitability. You will build and deploy models that inform key decisions around who we approve, how we price risk, and how we manage portfolio performance. This is a hands-on, high-impact role suited for someone who is business-oriented, data-driven, and biased toward action, not just model development. You will partner closely with Credit, Fraud, Servicing, Product, and Engineering to translate data into clear, actionable decisions that improve approval quality, reduce early loss, and drive sustainable growth. This role is Addison, TX-based with a 4-day in-office requirement and 1-day work from home. • Develop and deploy predictive models across the credit lifecycle (acquisition, risk, and collections) with a focus on improving approval quality and loss performance., • Translate model outputs and analysis into actionable credit strategy, including approval cutoffs, segmentation, and decision rules., • Analyze portfolio performance (FPD, delinquency, loss) to identify key drivers of deterioration and recommend targeted actions., • Evaluate tradeoffs between approval rate, loss, and profitability, and recommend strategies to optimize portfolio performance., • Distinguish fraud risk vs credit risk, improving early default performance and reducing losses., • Design and execute experiments (A/B tests, champion/challenger frameworks) to evaluate strategies and drive continuous improvement., • Work with Product and Engineering to implement decisioning logic into production systems and ensure accurate execution., • Monitor model and strategy performance over time, identifying drift, instability, or unintended impacts on portfolio outcomes., • Collaborate cross-functionally with other departments to ensure decisions align with business goals and risk appetite., • Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field, • 5-7 years of professional experience in Data Science, Analytics or a related field within FinTech or online lending space., • Advanced proficiency in Python for programming, data analysis, and predictive modeling, • Proficiency in SQL, Excel and experience with data visualization tools, • Excellent knowledge in applied statistical methods and experience using various predictive machine learning techniques including: linear models, decision trees, boosting, and ensemble models, • Knowledge of optimization, stochastic processes, experimental design, A/B testing and bootstrapping, • Passion for keeping your skills up to date and exploring new methodologies, • The ability to distill complex problems and analysis into a clear and concise narrative Preferred • Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment., • Hands-on experience applying AI to credit risk management Compensation at Braviant is competitive and commensurate with experience. Details will be discussed with qualified candidates during the interview process. In addition, we provide: • Comprehensive healthcare including medical, dental, and vision coverage, • Generous paid time off, including PTO, sick time, and 13 company holidays, • 401(k) with company contribution, • Participation in annual discretionary bonus plan, • Regular team and company gatherings What it's like to work here:We're about achieving results while having fun along the way. We believe in solving problems together and building on each other’s ideas. Our teams are comprised of smart, curious individuals and we encourage everyone to think like an owner, take initiative and drive their careers. Our broad roles provide tremendous opportunities for individuals to acquire new skills, gain exposure to all areas of the business, and quickly see their impact at Braviant. Want to learn more? Check us out on , and our _ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding. Key Responsibilities • Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes., • Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets., • Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models., • Analyze healthcare datasets including claims, patient, provider, operational, or clinical data., • Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions., • Monitor model performance, retrain models, and optimize algorithms for production environments., • Mentor junior data scientists and provide technical leadership across the project., • Ensure compliance with healthcare data privacy and governance standards., • 8–10 years of experience in Data Science / Machine Learning roles., • Strong hands-on expertise in Forecasting models (time series, demand forecasting, predictive analytics)., • Experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras., • Proven experience building Generative AI / Explainability models using LLMs, SHAP, LIME, or similar frameworks., • Mandatory experience working in the Healthcare domain., • Strong programming skills in Python, SQL, and ML libraries., • Experience with cloud platforms such as AWS, Azure, or GCP preferred., • Excellent stakeholder communication and leadership skills. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks. The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances the enterprise standard of care and patient experience using improved data, tools, and informatics processes organized around continuously delivering value to its customers. This is achieved through Lean-Agile delivery of clinical practice solutions that support best practice standards for clinical care. OHI is further responsible for ensuring the success of the modernized VA EHR, Oracle Health Millennium/Cerner through continuous exploration, integration, deployment and release on demand of Integrated Health Technology (IHT) solutions. These efforts aim to increase Veterans' access to care and support their active participation in their healthcare. Gritter Francona is looking for a Lead Data Scientist to help support a potential project to assist this objective. • Serves as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization., • Designs and validate algorithms for interoperability workflows, clinical informatics systems, and Agile integration reporting., • Ensures compliance with VA data governance, security, and privacy standards., • MUST HAVE demonstrated expertise in Agile environments (e.g., supporting PI planning, backlog analytics, velocity metrics); Interoperability standards (e.g., HL7, FHIR) and clinical terminology (SNOMED, LOINC); Programming languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch); Data visualization tools (e.g., Power BI, Tableau) and ETL processes;, • Proven experience integrating clinical informatics systems (VA VistA/CPRS, Cerner Millennium) and validating data migration fidelity, • Must be eligible to obtain a government clearance, • Master's degree in Data Science, Computer Science, Health Informatics, or Statistics, • 10+ years in data science or advanced analytics roles, • 5+ years applying machine learning and predictive modeling in healthcare or federal health IT environments, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Short Term & Long Term Disability, • Training & Development

Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time. Job overview: Omada Health is looking for a Staff Forecast Data Scientist to lead the technical development and automation of our enrollment forecasting capability. This role will build and scale forecasting models for our existing book of business, helping transform a historically manual, assumption-heavy process into a robust, production-oriented forecasting engine that improves forecast quality, consistency, and speed. Working closely with Commercial Operations, Finance, Data Engineering, and Applied Statistics, this person will design, deploy, and monitor forecasting solutions that support critical planning and decision-making across the business. The ideal candidate combines strong technical depth in time-series and predictive modeling with the ability to operate in ambiguous business contexts, translate commercial questions into scalable analytical solutions, and provide technical leadership in how forecasting is built at Omada. Your Impact: • Design, build, and automate Omada’s core enrollment forecasting engine for the existing book of business, significantly reducing manual effort and increasing forecast reliability and reproducibility., • Translate commercial planning questions into scalable forecasting solutions, partnering closely with Commercial Operations, Sales, Marketing, and Finance to ensure the models reflect real-world dynamics and are usable in day-to-day decision making., • Establish and own best practices for model development, backtesting, performance monitoring, and alerting for enrollment forecasts, helping Omada move from one-off analyses to a robust, production-grade forecasting capability., • Improve forecast accuracy and responsiveness over time by continuously experimenting with new data sources, features, and modeling techniques, and systematically incorporating learnings from forecast performance., • Act as the primary technical leader for forecasting within the Data organization, providing guidance on tooling, coding standards, and architecture, and mentoring other data scientists who contribute to forecasting projects., • Free Commercial Operations leadership to focus on product-line strategy and new go-to-market motions by taking ownership of the technical implementation of base forecasting, while collaborating closely on the assumption framework and narrative. About you: • 8+ years of experience in data science or applied statistics roles, with at least 3 years focused on forecasting, time series modeling, or revenue/enrollment prediction in a SaaS, healthcare, or similar recurring-revenue business., • Deep hands-on proficiency in Python (e.g., pandas, numpy, scikit-learn, statsmodels, Prophet or similar libraries) and SQL, with a track record of taking models from discovery through deployment and ongoing monitoring., • Strong grounding in statistical and machine learning methods for forecasting (e.g. hierarchical or panel forecasting, gradient boosting, generalized linear models), and a practical sense for when simple models outperform complex ones., • Experience designing and maintaining production data science systems in partnership with data engineering and platform teams, including versioning, backtesting, performance monitoring, and alerting., • Comfort working with messy, real-world commercial data (CRM, marketing, product/event, and financial data) and building robust pipelines and features that can support recurring forecast runs., • Demonstrated ability to translate ambiguous business questions into well-scoped technical problems, communicate tradeoffs clearly to non-technical stakeholders, and incorporate feedback into model and metric design., • Proven experience influencing cross-functional partners (e.g., Commercial Operations, Sales, Marketing, Finance) using data-driven insights, including framing uncertainty, risk, and scenario ranges in an executive-friendly way., • High degree of ownership and bias toward action: willing to dive into data, prototypes, and code while also stepping back to design scalable systems and long-term improvements to forecasting capabilities., • Comfortable working in a fast‑changing environment where GTM motions, products, and partner needs evolve quickly, and where you help drive clarity through structure, process, and analytics. Bonus Points for: • Experience implementing or upgrading forecasting tools, analytical workflows, or data models in a high‑growth, evolving, or public‑company environment., • Background in healthcare, digital health, health plans/PBMs, or other complex, regulated industries with multi‑stakeholder sales cycles., • Prior work supporting capacity planning or operational forecasting alongside care delivery, supply chain, or customer support teams., • Familiarity with Salesforce data models and RevOps processes (pipeline management, incentive compensation, territory / quota design)., • Passion for leveraging data, analytics, and emerging technologies (e.g., advanced BI, AI‑driven forecasting) to improve healthcare and outcomes for people living with chronic conditions. Benefits: • Competitive salary with generous annual cash bonus, • Equity grants, • Remote first work from home culture, • Flexible Time Off to help you rest, recharge, and connect with loved ones, • Generous parental leave, • Health, dental, and vision insurance (and above market employer contributions), • 401k retirement savings plan, • Lifestyle Spending Account (LSA), • Mental Health Support Solutions, • ...and more! It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada! • Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other., • Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road., • Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers., • Deliver Results. We reward impact above output. We set a high bar, we’re not afraid to fail, and we take pride in our work., • Succeed Together. We prioritize Omada’s progress above team or individual. We have fun as we get stuff done, and we celebrate together., • Remember Why We’re Here. We push through the challenges of changing health care because we know the destination is worth it. About Omada Health: Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits–where health is won or lost–at the center of care. Today's healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada’s virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems. Learn more at omadahealth.com. Omada is thrilled to share that we’ve been certified as a Great Place to Work! Please _ for more information. We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws. Below is a summary of salary ranges for this role in the following geographies: California, New York State and Washington State Base Compensation Ranges: $202,400 - $253,000, Colorado Base Compensation Ranges: $193,600 - $242,000. Other states may vary. This role is also eligible for participation in annual cash bonus and equity grants. *The actual offer, including the compensation package, is determined based on multiple factors, such as the candidate's skills and experience, and other business considerations. Please _for more information on our Candidate Privacy Notice.

A healthcare analytics firm in Austin, TX is seeking candidates with a strong background in statistics, mathematics, or data science to analyze healthcare fraud.

The incumbent serves as a Generalist Clinical Laboratory Scientist, who regularly rotates to various stations in the clinical laboratory for the Pathology and Laboratory Medicine Service of the VA New York Harbor Healthcare system, Brooklyn and/or Manhattan campuses. Categorical or specialist certif

The HY Harbor VA Healthcare System has 1 vacancy for a Clinical Laboratory Scientist within the Pathology and Laboratory Medicine Service.The incumbent serves as a Generalist Clinical Laboratory Scientist, who regularly rotates to various stations in the clinical laboratory for the Pathology and Lab

Cotiviti is hiring a Sr Staff AI Scientist specialized in Generative AI to work on reducing healthcare costs and improving outcomes.This role involves collaborating with healthcare professionals and utilizing machine learning techniques for impactful solutions.With a focus on exploratory data analys