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Clinical Laboratory Technologist OR CLT opening at one of the largest community-based, nonprofit laboratories in the United States. This laboratory works alongside 200 hospitals throughout the greater New York City area, New Jersey and surrounding states! This award winning laboratory is hiring for a permanent and full time Clinical Laboratory Technologist (CLT) OR Medical Laboratory Scientist (MLS) on either evening or night shift! There is flexibility with either 5x8 or 4x10 positions! For consideration, applicants must have a BS Degree in Medical Technology or Medical Laboratory Science and a New York State License as a Clinical Laboratory Technologist. MLS or MT ASCP Certification is preferred! This laboratory is offering a highly competitive pay rate ranges from $44.00/hr to $51/hr (doe) and a comprehensive benefits package! Benefits include medical, dental, prescription and vision benefits, retirement benefits, tuition benefits, PTO and more! If you are interested in learning more contact Andrea at or call/text . ACC

This role will support the assigned Clinical Trial Lead with the design and execution of key elements of the Clinical Development Plan (clinical study or studies) with minimal to moderate level of supervision. This position may support clinical development planning (collaboration with Clinical Devel

You will serve as a clinical science lead within cross-functional teams – partnering with Clinical Operations, Biostatistics, Medical Affairs, and Regulatory to advance study execution and shape clinical strategy. We are seeking a Principal Clinical Scientist to lead execution of key components of

Absci is looking for a Senior/Staff AI Scientist to advance and deploy protein design models for antibody drug design. Maintain our own Wet Lab, enabling AI Scientists to validate novel modeling methods via rapid design >. Developed and are growing our own pipeline of clinical-stage assets, enabling

We are looking for a Clinical Research Staff Scientist, Real World Evidence to play a key role in generating the evidence that connects Oura's validated health signals to outcomes, healthcare utilization, and cost savings.

PREFERRED QUALIFICATIONS EDUCATION, CERTIFICATION, AND/OR LICENSURE: Certification as a Medical Technologist/ Medical Lab Scientist by the American Society of Clinical Pathologists (ASCP) or American Medical Technologists (AMT). WORK SCHEDULE & LOCATION Scheduled Weekly Hours: 40 Shift: Day (United

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 DescriptionOur mission: eliminating every barrier to mental health. Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage. Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners. As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission. Spring Health is looking for a Clinical Research Scientist to join our Health Economics and Outcomes Research team. This role combines clinical research and scientific analysis with research program management, with approximately 50% of time focused on each. You will design and execute rigorous research, translate real-world clinical data into actionable insights, and help coordinate clinical study activities from protocol initiation through close-out. You will work closely with scientists and cross-functional partners, with guidance and support from research leadership on study operations, prioritization, risk management, and complex program decisions. This is a full-time position that is fully remote. What you'll do • Publish novel, high impact academic research, • Conduct comprehensive program evaluation for tools and trainings implemented throughout our network of psychologists and psychiatrists, • Support development and maintenance of detailed project plans, timelines, and budgets for clinical studies, with guidance from research leadership, • Track and report study progress against key milestones; identify risks or process gaps and escalate issues while supporting mitigation plans, • Coordinate cross-functional study timelines, deliverables, and dependencies to support on-time execution of clinical projects, • Support protocol adherence and compliance activities, including IRB submissions, financial tracking, and management of study protocolsWhat success looks like in this role, • Research Output: Produce rigorous academic and applied research, including peer-reviewed publications, white papers, or internally-facing analyses, • Study Execution: Support achievement of key study milestones by maintaining clear plans, proactively surfacing risks, and coordinating follow-through across stakeholders, • Scientific Communication: Develop clear customer-facing and internal assets that translate research findings into compelling clinical or business insightsWhat you'll bring, • Licensed mental health clinician, with PhD or PsyD in psychology or related field, • Track record of peer-reviewed academic research, including first-author publications, • Fluency in a statistical programming language (R, Python), • Experience supporting clinical research studies or research programs, including coordinating timelines, deliverables, and cross-functional stakeholders, • Strong organizational skills and ability to manage multiple workstreams with appropriate guidance, prioritization, and escalation, • Initiative and ability to self-direct scientific work while collaborating effectively on program-management activities Nice to have: • Professional experience working within mental health tech or employee benefits The target base salary range for this position is $120,000 - $140,000, and is part of a competitive total rewards package including benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. Benefits provided by Spring Health: Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria. • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year., • $200 per year donation matching to support your favorite causes. Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply. Our privacy policy: https://springhealth.com/privacy-policy/ Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

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: Oscar's data team is focused on pushing our understanding of the complex landscape of the healthcare 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. The Risk Adjustment Data Science team turns that data into the models, pipelines, and systems that quantify Oscar's clinical risk and power our risk adjustment submissions—work that directly impacts Oscar's financial performance and strategic decision-making. As a Senior Data Scientist on this team, you will design, build, and maintain systems that automate manual business processes across the risk adjustment space. Our Actuarial team will be your core stakeholders, and you will also partner with our internal Risk Adjustment team and other business functions. You will work closely with these stakeholders to understand their processes, then bring those workflows into our data science infrastructure—re-engineering them to be more robust, accurate, and feature-rich. This is a builder-focused role: the ideal candidate is energized by taking an ambiguous, manual process and turning it into well-engineered, validated, and maintainable production systems. You will own projects end-to-end—scoping problems with stakeholders, designing the technical approach, implementing pipelines and models, validating outputs against existing processes, and iterating after launch. Beyond individual projects, you will help shape the technical direction of the team's risk adjustment models and infrastructure, and provide informal mentorship to junior data scientists. You will report to the Senior Manager, Data Science on the Risk Adjustment team. 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: • Designs, builds, and maintains production data pipelines, statistical/ML models, and analytical systems supporting Oscar's clinical risk adjustment quantification and submissions processes, • Partners closely with business stakeholders including the Actuarial and Risk Adjustment teams—to translate manual processes into automated, validated, and feature-rich systems, • Owns projects end-to-end, including problem definition, technical design, implementation, validation against existing processes, and post-launch iteration, • Interacts and collaborates closely with data and business counterparts across functional areas, • Works with team and manager to impact longer term strategies and roadmap, • Provides informal mentorship to junior data scientists, • 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 and Python to query, manipulate, and analyze data, • 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing, • Experience designing, building, and maintaining production data pipelines or systems, applying software engineering best practices such as version control, code review, and testing Bonus points: • Advanced degree in a quantitative or technical field, • Experience in the healthcare, finance and/or insurance industries, • Experience with risk adjustment, actuarial processes, or health insurance financial modeling, • Experience converting manual or spreadsheet-based analytical processes into automated production systems, • Experience with modern data and orchestration tooling (e.g., BigQuery, dbt, Dataflow) and cloud platforms 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 DescriptionWhat you'll be part of Garner is on a mission to transform the U.S. healthcare system — and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Staff Applied Scientist to join our Applied Science team. Garner is hiring Applied Scientists to design and ship the algorithmic systems at the core of our product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. This is a player-coach role. You will be a hands-on-keys Applied Scientist, while also leading a small team that helps you deliver on your roadmap. Your time will be split between your own technical work and working with your team to shape how they approach their problems. This role is a good fit for someone who wants to develop their management toolkit while continuing to work closely on their own technical work, and it can lead either towards management or a deeper senior IC track. 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 most ambiguous, high-stakes problems facing the company end-to-end, and set how the team frames and approaches them, • Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks, • Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship, • Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, and set the standard for how the team selects and applies these approaches, • Deliver algorithmic breakthroughs that move the company's most important metrics, pioneering approaches that become how applied science is done at Garner, • Lead a small team — set their technical direction, unblock them when they're stuck, and share accountability for their growth and the quality of what they ship, • Review Applied Science work at the highest level across the company, ensuring the methods used across teams are sound and correctly applied, • Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: • Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions., • AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely., • Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.The ideal candidate has:, • 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred, • 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, • Recognized technical authority, with the judgment to ensure the techniques used across an organization are sound, • Strong interest in mentoring or technically leading other Scientists — formal management experience is welcome, but not required, • Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem, • Strong communication skills, including at the executive level, with a track record of driving alignment across an organization, • 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 feedbackWhat you'll get here You'll work on problems that matter, at a company working to change healthcare at scale. You'll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you'll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It's demanding by design. You'll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: • Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to work on high-impact problems in healthcare — shaping how members find better care through algorithmic systems that directly influence healthcare outcomes, and helping the scientists around you do the same. Compensation Transparency: The target base comp range for this position is $300,000-$390,000. 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 DescriptionJob Title: Assistant Research Scientist Grade: 15 Salary: $57,900-$69,341The Research Foundation for Mental Hygiene is seeking a qualified applicant to fill a full-time Assistant Research Scientist position for the Area Molecular Imaging and Neuropathology at the New York State Psychiatric Institute. The chosen candidate will provide research study support for NIMH-funded neurobiological studies focused on mood disorders and suicide risk. The selected candidate should have interest in working with patients, as well as research and writing research papers. This position requires a highly organized person to manage detailed information in a research environment. Strong communication, computer skills, ability to multi-task, and comfort with clinical situations are required. Must be fluent in English and able to interact with and relate to patients with sensitivity and empathy. This position will include a mix of remote and on-site work with research participants undergoing neuroimaging studies. Duties and Responsibilities:Recruit and conduct initial telephone screening interviews of depressed potential participants Manage complex protocols Manage documentation for the IRB Assist in Near Infrared Spectroscopy and MRI. Ability to be trained in procedures such as blood-drawing and obtaining urine and saliva samples for medical screening and research. Minimum Qualifications:Bachelor's degree and (1) year of professional research experience in an appropriate field. 30 graduate hours leading to an advanced degree in an appropriate field may be substituted for the required experience. Preferred Qualifications:(1-2) years' experience as a coordinator. (1-2) years' experience in Excel, SPSS or other statistical software; prior experience working with human subjects preferred. Phlebotomy after training; willingness to perform research blood-draws and urine sampling. Work Location: 1051 Riverside Drive, New York, NY 10605To Apply: Submit an application through our website at https://rfmh.applicantpro.com/jobs/. Please note only applications submitted through our website will be considered.The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer.The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant. Job Posted by ApplicantPro

Job DescriptionWhat you'll be part of Garner is on a mission to transform the U.S. healthcare system — and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the Role: We are seeking an exceptional Senior Applied Scientist to join our Applied Science team. In this role, you will design, develop, and deploy the algorithmic systems that power Garner's products and drive meaningful impact for our members. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. What you will do: • Own the most ambiguous, high-stakes problems on the team end-to-end, and serve as a technical resource others rely on, • Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks, • Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship, • Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, • Find novel ways to frame and solve the team's hardest problems, proving out approaches that others build on, • Set the bar for quality by reviewing others' work with rigor, and build the standards and evaluation tooling the team relies on, • Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: • Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions., • AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely., • Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.The ideal candidate has:, • 4+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 2+ years of industry experience with a relevant advanced degree, PhDs preferred, • 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, • Deep technical range, with fluency across Garner's data and a habit of staying current with advances in the field, • 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 senior and external stakeholders, and to secure buy-in for cross-team work, • 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 feedbackWhat you'll get here You'll work on problems that matter, at a company working to change healthcare at scale. You'll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you'll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It's demanding by design. You'll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target base comp 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) 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 Position Summary The System Director of Lab is responsible for all diagnostic laboratory testing and related services for inpatients, outpatients, and outreach clients across the Hudson Health System. This includes oversight of services at all system facilities. Job Duties • Develop strategic direction for laboratory services aligned with the goals of Hudson Health System., • Ensure quality, operational integrity, and cost-effectiveness of laboratory operations across all sites., • Maintain full regulatory compliance (CLIA, CAP, Joint Commission, OSHA, FDA, and state requirements)., • Enhance laboratory support for clinical programs and value-based care initiatives., • Oversee daily operations including staffing, budgeting, quality assurance, technical processes, chemical hygiene, and safety programs., • Drive innovation in test menu development and lab service delivery., • Ensure integration of laboratory systems with physician, nursing, IT, and materials management teams., • Build cross-campus operational workgroups to standardize processes and ensure continuous improvement., • Oversee vendor relations, equipment acquisition, and lab formulary development., • Monitor key performance indicators (KPIs) and lead quality improvement efforts., • Serve as a senior leader within Hudson Health System, collaborating with the CMO, COO, and other hospital executives., • Act as liaison to laboratory medical directors and pathologists., • Develop and coach laboratory leadership teams across all campuses., • Champion a culture of transparency, accountability, service excellence, and innovation., • Represent lab services in system-level strategy and planning meetings., • Performs other duties as assigned Qualifications and Skills • High integrity and professionalism, • Data-driven problem solver, • Flexible, resilient, and adaptable in all situations., • Excellent communicator and mentor Education, Experience and Certification/Licensure Requirements • Master’s degree in clinical laboratory science, Medical Technology, or related field required, PhD, DSc. (Preferred.), • Current state licensure as a Clinical Laboratory Scientist/Medical Technologist and national certification (ASCP, NCA, or AMT) (Required.), • Advanced certification in healthcare administration (e.g., MHA, MBA) (Preferred.), • Minimum 10 years of progressive leadership in hospital laboratory operations, including multi-hospital system oversight., • Demonstrated success managing budgets over $30M and leading capital planning for advanced instrumentation., • Proven track record implementing LIS integration and laboratory automation projects.

Job DescriptionAbout Fullscript We’re an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care. That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment. We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better. This is your invitation. Bring your ideas, your grit, and your care for people. Join us and shape the future of care.The Opportunity We're hiring a Lead Data Scientist to be the analytics owner for one of Fullscript's fastest-growing segments. This is a rare shape of role: the scope of a head of analytics with the autonomy of a senior IC. You'll partner directly with the GM, Finance, Product and Commercial leaders to answer the questions that determine where the business invests next. That starts with a deep understanding of who our customers are and how they actually use the product, and it runs through owning the experimentation engine that tests our bets. The focus for this role is around using analytics to drive performance: understanding results, designing/executing experiments, and telling leadership what's true and what to do about it. This role is a foundational hire - you'll shape how analytics operates in this segment, with the opportunity to grow the function over time. What you'll do • Own experimentation (the heart of the role). Partner with Product and Commercial teams to design, run, and read growth experiments — from framing the hypothesis and sizing the test to calling the result and pushing the decision. Bring rigor (power analysis, causal inference, guardrail metrics) to a business moving fast., • Build the reporting backbone. Own the core dashboards and self-serve tooling the segment runs on, evolving an AI-augmented reporting stack that already automates much of the routine work. Your job is to make performance easy to understand for execs., • Generate insight, not just analysis. Break down revenue and margin performance into drivers - volume, mix, pricing, cohort behavior - and proactively tell us where growth is coming from, where it's leaking, and what to do next., • Keep the data foundation healthy. Manage the partnership with our central Data Engineering team to make sure the segment's core data models and pipelines support the analytics. Sharpen the forecast. Support Strategic Finance with driver-based revenue forecasting analytics, connecting operational signals to financial outcomes.What you bring to the table • 6+ years in data science, growth analytics, or quantitative business roles, with real depth in experimentation and causal inference — you've designed and shipped tests that changed business decisions, • Strong SQL and Python, and comfort working directly in large, imperfect datasets without a support team, • A track record of operating autonomously: scoping ambiguous questions, prioritizing your own roadmap, and driving work to a decision without close management, • Executive-grade communication: you can walk a GM through why a metric moved and what to do about it, in plain language, • Strong business judgment: you understand how growth, product usage, and operational drivers connect to revenue and contribution margin, • Customer obsession: you instinctively ground analysis in how real practitioners and patients use the product, and treat understanding their behavior as the source of good decisions, • Experience in marketplace, eCommerce, SaaS, or healthcare businesses at scaleBonus if you have, • Experience partnering with FP&A or strategic finance teams, • Experience building metric trees or driver-based performance frameworks, • Hands-on use of AI tools (LLMs, agents) in your analytics workflow, • Exposure to BI tools such as Sigma, Looker, Tableau, or Power BI, • Experience mentoring or managing analystsWhat we can offer you, • Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role., • Flexible PTO and competitive pay, because work-life balance matters, • RRSP/401k match and stock options to invest in your future, • Premium benefits package with customizable coverage, paramedical services, and an HSA., • Fullscript discounts to save on high-quality wellness products, • Continuous learning opportunities to grow your skills and careerWhy Fullscript Great work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door. What to Know Before You Apply We’re grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page. A quick note: Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. If there’s a match, our team will reach out directly. Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at accommodations@fullscript.com. All offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws. We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S. Learn Morewww.fullscript.com@fullscriptHQ on instagram@fullscript on YouTubeFullScript on LinkedIn We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

Job Description Cresilon® is a Brooklyn-based biotechnology and medical device company that develops, manufactures, and markets hemostatic products, driven by a singular mission: to save lives. Powered by proprietary plant-based hydrogel technology, Cresilon's products are redefining the standard of care by stopping bleeding in seconds across diverse patients, procedures, and care settings. The company's current commercial portfolio includes TRAUMAGEL® for human trauma and VETIGEL® for veterinary applications, with planned expansion into human surgical applications and beyond. Learn more 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, • Minimum 6+ years’ experience in preclinical medical device research is required, preference given to veterinary surgical or human surgical experience., • Extensive knowledge of surgery, anatomy, toxicology, and pathology is required. Hands-on surgical experience is required., • Strong knowledge of ISO-10993 Standards, FDA Guidance and Regulations, and Animal Welfare Regulations., • Strong communication skills (both written and verbal) are 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., • Excellent problem-solving, conflict resolution, and analytical skills, • 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, • Requires strong leadership and organizational skills, including attention to detail and multi-tasking skills., • Able to understand and execute to project details while keeping overall “big picture” view of projects, priorities, and strategies, • Physical Requirements include, • Must be able to stand, walk and maintain static positions for extended periods while performing laboratory, vivarium, and surgical procedures., • Requires excellent hand-eye coordination, fine motor skills, and manual dexterity to perform preclinical surgeries and operate laboratory equipment., • Must be able to visually assess animals, surgical sites, experimental outcomes, and laboratory data, including close-up and detailed observations., • Must be able to lift and move materials and equipment up to 50 pounds occasionally, and frequently bend, reach, stoop, kneel, and maneuver within laboratory and animal research environments., • Must be able to wear required personal protective equipment (PPE), work safely with biological materials and research animals, maintain visual acuity for detailed observations, and obtain any required occupational health clearances and vaccinations., • Must be able to work with biological materials, chemicals, and pharmaceutical or medical device products in accordance with applicable safety procedures., • 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) Preferred: • 4+ years of people management experience., • 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., • Experience with surgical publication submission strategy is strongly preferred., • Previous experience in authoring and reviewing nonclinical regulatory documents as well as interactions with regulatory authorities is strongly preferred., • 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. 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. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process and need an alternative method for applying, please contact our Human Resources Department at 347-497-7984 or email Kduffy@cresilon.com. 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, • 401(k) & Roth Retirement Savings Plan with company match up to 5%, • Monthly NYC MetroCard Reimbursement

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 Why 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 Most of what makes American healthcare expensive isn’t medical care. It’s the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care. The result is higher premiums, denied claims, surprise bills, and a system patients increasingly experience as adversarial. Arlo is rebuilding health insurance for small businesses from first principles: making sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it. We do that by identifying fraud earlier, steering members toward higher-quality and lower-cost care, automating operational overhead, and eliminating vendors whose business exists mostly to take a cut. AI is the foundation that makes this work. We use it across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves. We’re already operating at meaningful scale: profitable, hundreds of millions in premiums, tens of thousands of members covered, and growing quickly through brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and longtime healthcare operators. About the role: Underwriting is at the core of Arlo. Every group we price depends on how accurately we can estimate the risk of the individual members inside, and the quality of the estimate is essential to the sustainability of our business. We’re hiring a Senior Data Scientist to own our underwriting model and continuously deploy measurable improvements to it based on learnings from real-world outcomes. You’ll work with billions of claims across tens of millions of patients to identify what signals in claims history predict future medical cost, how to roll it up to a competitive price for a group, and how to deploy the system at scale. You’ll constantly monitor the lifecycle of predictions, group policies sold, and claims incurred by our tens of thousands of members to gather novel insights that can improve our model and pricing approach. This is a hands-on modeling role in which you will sit on the underwriting team alongside our team of data scientists and actuaries thinking through issues beyond point estimates of cost including how to handle data blindness, variability, and when the risk is too high to issue a quote. You’ll own the model but work alongside ML engineers to ensure that your ideas can be tested and deployed at scale. What you’ll work on: Evaluate the existing Arlo underwriting model and find where it breaks Develop a robust evaluation framework to stress the model outcomes and identify specific gaps in risk estimates (cohorts, conditions, or claims patterns) and the underlying causal factors Use those findings to generate a roadmap of model and feature work that is prioritized based on making sure our rates are competitive in the market while ensuring we can remain a profitable business. Build features that capture the full risk of a member Account for training and inference dataset bias to optimize member predictions Improve handling of member cost variance in our quoting pipeline Experiment with model designs Implement different ML architectures that balance efficacy, generalizability, and understanding so we can outperform the market Prove the lift before it ships Work with our backtesting harness to measure the effect of every model change on MLR and competitiveness. Set the bar for what "better" means and hold changes to it, so improvements to the model are trustworthy What we’re looking for: 5+ years as a data scientist building predictive models that made it into production Deep proficiency in Python and SQL, with comfort processing large datasets using Spark and using common modeling packages. A track record of owning a problem end-to-end in an ambiguous environment and shipping without being handed a spec Direct experience with healthcare data Strong instincts for feature engineering and model validation, and the judgment of how well results might be able to hold in production Interest in the larger business context. This is not a research endeavor, but a live model that directly changes our win rates, book size, and performance. Clear communicator who can explain what they did and why it mattered Nice to Have: Familiarity with claims data and their known quirks and biases Prior experience working at Series C or earlier start-ups Background in underwriting, actuarial sciences, or risk adjustments Experience with ML engineering and infrastructure Compensation $170,000- $220,000 + equity and benefits Why Join Arlo: High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company. Join an important mission: Your work directly influences how people access care and improves lives at scale. Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity. Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare. High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process. Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law. Your safety matters to us. If you're selected to move forward in our hiring process, you'll hear directly from a member of our Recruiting team via an @joinarlo.com email address. We will never ask for personal or financial information outside of our formal onboarding process. When in doubt, please reach out to us to verify at: recruiting@joinarlo.com.

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 DAIR team, you will report to the Director, DAIR. You will help provide oversight for the development, implementation and analysis of multimodal modal brain and body imaging (MoBI) studies of behavior and brain function with particular focus placed on the application of advanced statistical learning techniques to multimodal datasets for the purpose of identifying biomarkers, signals, or trends that have clinical utility. Translational models will be employed as needed to understand phenomenology underlying biomarkers and establish their validity. The Research Scientist will help develop short- and long-term work goals for data analysts and provide supervision and mentoring for junior research staff. The Research Scientist will ultimately function as a Principal Investigator, providing leadership in these areas and building a portfolio of scientific evidence, fundable projects, and software and analytic tools in the area of multimodal brain and body imaging and biometrics. This is an exempt, full-time, hybrid position located in our NYC headquarters office or other relevant location. 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: Procurement and development of multimodal dataacquisition protocols. Development, application, and refinement of analytic approaches for multimodal data. Prepare manuscripts for publication in peer-reviewed scientific journals. Prepare grant applications directly as principal and co-investigator. Assistance in the guidance and mentoring of DAIR and MoBI team research staff (e.g.,research assistants, data analysts, post-doctoral fellows). Strategic planning and oversight for the development and qualityassurance for DAIR and MoBI team research databases and related infrastructure. Formation and maintenance of collaborative relationships with scientific peers. Perform additional job-related responsibilities as assigned You Have: PhD in electrical engineering, bioengineering, computer science, biophysics, appliedmathematics, or neuroscience, with two years or more of postdoctoral training in one ormore measurement modalities for brain function (inclusive of training, if applicable). 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning), preferably in a clinical or research setting. 5+ years of experience in at least one scientific programming language (e.g., Python/R,Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars,Pytorch) is required. 5+ years of combined experience and education in the collection and/or analysis of mental health-related data modalities, such as MRI, EEG, physiological measures, eye-tracking, developing computer-based tasks, or ecological assessments. 2+ years of supervising experience by mentoring predoctoral trainees Must be considered NIH-eligible to serve as a Principal Investigator on grant submissions. Must have a demonstrable track record of conducting experiments, writing analyses, and communicating results through scientific posters, presentations, and papers. Must be broadly considered a strong and qualified researcher in signal processing, image analysis, and software development. An outstanding academic and research background in a disciplinary area relevant to the Child Mind Institute, including relevant academic qualifications. #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 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 needsProblem 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 visionLeadership, • 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 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 Senior AI Engineer Location: New York City Work Style: Hybrid Onsite Employment Type: Full-time Focus: AI, LLMs, Clinical Reasoning, Evaluation, Retrieval, Applied ML About Our Client Our client is building AI technology with the mission of making high-quality healthcare more accessible, affordable, and scalable. Their AI-powered clinical platform already supports millions of patient consultations, and the company is working toward scaling that impact significantly while continuing to improve clinical safety, reasoning quality, accuracy, and trust. This is an opportunity to join a team building real-world clinical AI systems used by patients every day. The company operates in a live healthcare environment, giving the team a unique dataset and feedback loop to test, improve, and deploy AI systems in practical clinical care. About the Role Our client is hiring a Senior AI Engineer to help build the next generation of clinical AI systems. This role blends research and engineering. The ideal candidate is not just running experiments or writing notebooks — they are building real systems that reason, retrieve evidence, evaluate performance, and improve over time. You'll work on agentic reasoning, retrieval, evaluation infrastructure, model learning, and clinical decision support systems. The goal is to help every component of the AI platform become safer, more accurate, more useful, and more trustworthy with each iteration. What You'll Do Design and build agentic clinical reasoning systems Develop AI architectures that support reasoning, reflection, verification, tool use, routing, uncertainty handling, and escalation Build systems where specialized agents and models work together to support safe and reliable clinical decisions Create evaluation platforms, rubrics, simulations, and experiments to measure AI performance in clinical use cases Identify whether improvements should come from reasoning, retrieval, model behavior, data, or engineering changes Apply methods such as fine-tuning, distillation, reinforcement learning, preference optimization, and prompt or system optimization Build training data, feedback, reward, and experimentation pipelines Develop search, ranking, retrieval, and grounding algorithms tied to trusted medical evidence and patient context Improve retrieval systems based on their impact on downstream clinical decisions, not just document relevance Own problems end-to-end, from framing and experimentation through shipping and measurement Collaborate closely with engineering, clinical, product, and physician-scientist partners What We're Looking For Strong experience building real AI, ML, or LLM-powered systems Deep experience in at least two of the following areas: Agentic architectures, reasoning systems, and tool use Model evaluation, experimentation, and rubric design Model training, fine-tuning, distillation, or reinforcement learning Search, ranking, retrieval, RAG, or grounding systems Strong ML fundamentals, including training data, objectives, metrics, failure analysis, calibration, and validation Ability to work in complex domains where ground truth is incomplete and expert opinions may differ Strong engineering fundamentals with experience building production systems, not just research prototypes Clear communication and strong collaboration across engineering, clinical, and product teams Ability to think through business impact and prioritize technical work accordingly Comfort operating with autonomy in a builder-first environment Experience Profile Successful candidates will typically have one of the following backgrounds: Advanced degree in a quantitative, computational, scientific, or related discipline with 3+ years of highly relevant applied AI/ML or research experience 7+ years of relevant experience building and researching ML systems Recent hands-on work with LLMs, generative AI, agentic systems, retrieval systems, or production AI infrastructure Our client cares more about the depth and quality of your work than a specific credential or traditional career path. Bonus Experience Published research, patents, meaningful open-source contributions, or novel production ML systems Experience building AI systems at an early-stage or high-growth company Experience in healthcare, clinical AI, regulated industries, or safety-critical environments Familiarity with clinical workflows, healthcare data, HIPAA, FHIR, EHR systems, or HL7 Experience with human-feedback systems, RLHF, simulations, or synthetic data generation Experience with AI safety, bias detection, calibration, fairness, or model reliability Why This Opportunity Build AI systems that can meaningfully improve access to healthcare Work on real clinical AI problems with real patient usage and feedback Join a team focused on reasoning, retrieval, evaluation, safety, and trust Work side by side with physician-scientists and experienced technical builders Own high-impact AI systems end-to-end Operate with autonomy in a fast-moving, builder-first environment Contribute to technology designed to scale from millions of consultations to much larger clinical impact Compensation & Benefits Competitive salary Meaningful equity with upside as the company grows Comprehensive health benefits High autonomy and ownership over important technical problems Opportunity to build AI systems transforming healthcare at scale Ideal Candidate Profile The ideal candidate is a research-minded AI engineer who wants to build intelligent systems that work in the real world. They care deeply about reasoning quality, evaluation, safety, and measurable improvement — and they have the engineering ability to turn ambitious ideas into production systems. This person is excited by the challenge of building clinical AI that can earn trust over time.

Job Description We are seeking a Healthcare Data Scientist (Real-World Evidence) to answer complex healthcare and biopharma questions using large-scale real-world data and help shape the next generation of AI-powered clinical research. This is a hands-on role that combines rigorous real-world evidence analysis with deep collaboration across product, AI, and customer teams. Internally, you will partner closely with Medeloop's AI research and product teams to design and execute real-world evidence analyses, evaluate the performance of our clinical research agents, and apply your scientific expertise to improve how our platform reasons about healthcare data. Externally, you will serve as an embedded data scientist for our partner institutions, working directly with clinicians, researchers, and life sciences organizations to scope research questions, deliver high-quality evidence, drive adoption of the platform, and expand each customer's use of Medeloop over time. This is a highly technical role centered on analytical reasoning, statistical rigor, and scientific problem-solving. Your work will directly influence both the intelligence of our AI systems and the real-world impact they create for healthcare and life sciences organizations. Role & Responsibilities • Build and execute real-world evidence analyses to answer complex healthcare and biopharma questions using large-scale claims and EHR data., • Write high-quality, scalable code (SQL and Python; R also welcome) to define cohorts, model patient journeys, and generate rigorous, reproducible research outputs., • Apply clinical and statistical judgment to evaluate treatment patterns, utilization, and outcomes in observational data, reasoning carefully about bias and limitations., • Work directly with Medeloop's AI research agents, reviewing and challenging their analytical outputs, and partner with AI and product teams to improve how agents translate research questions into high-quality analyses., • Partner with customer institutions: scope their research questions, deliver evidence, drive adoption, and help expand how each institution uses Medeloop., • Communicate analyses, assumptions, and limitations clearly to internal teams, scientific stakeholders, and customers, translating technical findings into plain-language insight., • Help shape the analytical foundations and evaluation frameworks behind the next generation of AI-driven clinical research tools.Requirements, • PhD, or a Master's degree minimum plus 5+ years of industry experience, in a quantitative-health field (biostatistics, epidemiology, clinical trials, public health, health informatics, or health economics). PhD preferred; strong industry experience can substitute for the doctorate., • Strong grounding in real-world data/evidence (RWD/RWE) methodology, with domain experience in biostatistics, epidemiology, clinical trials, or public health., • Proven ability to answer complex clinical or biopharma questions using SQL and Python, plus statistical software (R and/or SAS)., • Experience with large healthcare datasets, such as claims or EHR data (clinical coding systems, ICD/CPT/RxNorm), assumed to come with an RWE background., • Track record of producing rigorous, research-grade analyses, reports, or publications; comfort working with messy, high-dimensional data., • AI/ML experience required, with clear evidence of hands-on use; comfortable reviewing code and reasoning about model outputs., • Strong communicator; customer-facing experience preferred (trainable for the right analytical candidate).Nice to Have, • Experience working directly with customers and in a sales capacity., • Industry background strongly preferred over consulting (industry candidates preferred over consultants).

Job Description Maven Clinic is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Through Maven Enterprise, the company partners with more than 2,300 employers and health plans to provide end-to-end women's and family health programs spanning fertility and family building, maternity and newborn care, parenting and pediatrics, and menopause and midlife — improving clinical outcomes, reducing healthcare costs, and expanding equitable access to high-quality care at scale. Through its consumer platform, Maven provides direct access to virtual care across 30+ specialties, as well as dedicated hormone and GLP-1 care programs purpose-built for women. Founded in 2014 by CEO Kate Ryder, Maven Clinic has raised more than $425 million from leading healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. Recognized for innovation and industry leadership, Maven has been named to the TIME100 Most Influential Companies, CNBC Disruptor 50, Fast Company's Most Innovative Companies, and FORTUNE Best Places to Work. Learn more 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: • TIME 100 Most Influential Companies (2023, 2026), • 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), • Fast Company Most Innovative Companies (2020, 2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024)About the role This isn't a vertical-specific role. Maven is looking for an experienced decision scientist who works across the seams—connecting clinical product, member experience, and our AI and healthcare initiatives into one coherent story. You'll tie the narrative together: building cross-functional reporting that gives every team a shared view of what's working and why, and partnering on the data architecture that makes the whole team faster. Instead of owning one surface, you'll work the connective tissue between them—surfacing insights that only appear when you look across the entire experience. You're equally at home in the details of measurement and in the big-picture framing that turns data into direction. You know the highest-leverage work often isn't answering one question well—it's building the systems and shared language that let everyone answer their own questions better. As a Senior Decision Scientist, you will: • Own our key cross-functional reports end to end—understanding not just how they're built but why each metric matters and how the teams that depend on them make decisions, • Consolidate fragmented reporting into a coherent, shared view across clinical product, member experience, and our AI and healthcare work, so every team operates from the same source of truth, • Surface the insights that only become visible when you look across surfaces rather than within a single one, and translate them into clear direction for stakeholders, • Partner on the design of scalable data architecture (primarily using SQL and Python), reducing one-off requests and letting every team answer its own questions faster, • Define success metrics with partners across Product, Engineering, and Operations, and pair rigorous measurement with big-picture framing, • Establish the shared language, standards, and best practices that make the whole team faster and sharper—mentoring other analysts along the wayMinimum Qualifications:, • 5+ years of relevant analytics or data science experience, with a track record of cross-functional or cross-surface work, • Fluency in SQL, DBT, and a strong background in data visualization, • Proficiency with at least one BI tool (Tableau, Looker), • Hands-on experience with Python or R, • Demonstrated ability to design scalable data structures and reporting from both internal and 3rd party sources, • An ability to juggle long-term, strategic projects alongside ad hoc, urgent requests, • Excellent collaboration and communication skills, with a proven ability to turn data into direction for cross-functional stakeholdersPreferred Qualifications:, • Experience working with event-based data, • Knowledge of experimentation and/or statistical modeling, • Experience building shared measurement frameworks or semantic/metrics layers used across multiple teams The base salary range for this role is $174,000 - $205,000 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. This role requires active work authorization in the US. 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 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 Our client is seeking an Research Scientist to join their Center for Data Analytics, Innovation, and Rigor (DAIR) team in New York City. As part of the DAIR team, you will report to the Director, DAIR. You will help provide oversight for the development, implementation and analysis of multimodal modal brain and body imaging (MoBI) studies of behavior and brain function with particular focus placed on the application of advanced statistical learning techniques to multimodal datasets for the purpose of identifying biomarkers, signals, or trends that have clinical utility. Translational models will be employed as needed to understand phenomenology underlying biomarkers and establish their validity. The Research Scientist will help develop short- and long-term work goals for data analysts and provide supervision and mentoring for junior research staff. The Research Scientist will ultimately function as a Principal Investigator, providing leadership in these areas and building a portfolio of scientific evidence, fundable projects, and software and analytic tools in the area of multimodal brain and body imaging and biometrics. This exempt, full-time, hybrid position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor in the NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. Our client is dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. They have 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. Responsibilities: • Procurement and development of multimodal data acquisition protocols., • Development, application, and refinement of analytic approaches for multimodal data., • Prepare manuscripts for publication in peer-reviewed scientific journals., • Prepare grant applications directly as principal and co-investigator., • Assistance in the guidance and mentoring of DAIR and MoBI team research staff (e.g.,research assistants, data analysts, post-doctoral fellows)., • Strategic planning and oversight for the development and qualityassurance for DAIR and MoBI team research databases and related infrastructure., • Formation and maintenance of collaborative relationships with scientific peers., • Perform additional job-related responsibilities as assigned Qualifications: • PhD in electrical engineering, bioengineering, computer science, biophysics, appliedmathematics, or neuroscience, with two years or more of postdoctoral training in one ormore measurement modalities for brain function (inclusive of training, if applicable)., • 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning), preferably in a clinical or research setting., • 5+ years of experience in at least one scientific programming language (e.g., Python/R,Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars,Pytorch) is required., • 5+ years of combined experience and education in the collection and/or analysis of mental health-related data modalities, such as MRI, EEG, physiological measures, eye-tracking, developing computer-based tasks, or ecological assessments., • 2+ years of supervising experience by mentoring predoctoral trainees, • Must be considered NIH-eligible to serve as a Principal Investigator on grant submissions., • Must have a demonstrable track record of conducting experiments, writing analyses, and communicating results through scientific posters, presentations, and papers., • Must be broadly considered a strong and qualified researcher in signal processing, image analysis, and software development., • An outstanding academic and research background in a disciplinary area relevant to the Child Mind Institute, including relevant academic qualifications. Special Considerations: The anticipated salary range for this position is $110,000 - $130,000 USD annually. Our client's competitive compensation and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. 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. Our client is an equal opportunity employer and does not discriminate in employment based on race, religion (including religious dress and grooming practices), color, sex/gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sex stereotype, gender identity/gender expression/transgender (including whether or not you are transitioning or have transitioned) and sexual orientation; national origin (including language use restrictions and possession of a driver's license issued to persons unable to prove their presence in the United States is authorized under federal law [Vehicle Code section 12801.9]); ancestry, physical or mental disability, medical condition, genetic information/characteristics, marital status/registered domestic partner status, age (40 and over), sexual orientation, military or veteran status, or any other basis protected by federal, state or local law or ordinance or regulation.

Job Description Why 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 Role Summary The Senior Scientist supports development, optimization, and scale-up of AAV manufacturing processes using Sf9/baculovirus and HEK-based systems. This role contributes to early and late-stage CMC activities including process characterization, technology transfer, control strategy development, and regulatory documentation. The level of responsibility, technical leadership, and cross-functional ownership will be commensurate with experience. Primary Responsibilities • Design, execute, and lead process development and optimization studies for AAV manufacturing using Sf9 cells/baculovirus and HEK platforms., • Perform hands-on laboratory work to execute process development and optimization experiments, generate critical process data, and support technical troubleshooting., • Support and, as appropriate, define study designs to drive process optimization, scalability, robustness, and technology transfer for clinical and late-stage programs., • Collaborate with and provide technical leadership across upstream, downstream, analytical, manufacturing, and quality teams to evaluate process performance and product quality., • Support or own late-stage CMC deliverables, including process characterization, risk assessments, control strategy development, technology transfer, and validation readiness., • Author, review, and provide technical input for study protocols, technical reports, and regulatory documentation., • Support or lead troubleshooting, investigations, mentoring of junior staff, and continuous process improvement initiatives. Required Skills and Qualifications, • Master’s degree in biochemical engineering, bioprocess engineering, molecular biology, cell biology, or relevant life sciences or engineering discipline with a minimum of 6 years of relevant experience, or PhD with at least 3 years of relevant experience., • Hands-on experience with upstream AAV production using Sf9 cells/baculovirus and HEK platforms required., • Understanding of virus/viral vector properties and experience with development of upstream and downstream processes for viral vectors or gene therapy products are highly desirable., • Working knowledge of downstream processing and analytical testing preferred., • Experience supporting process optimization, characterization, and late-stage CMC activities preferred., • Demonstrated leadership in process development, cross-functional collaboration, and late-stage CMC readiness is expected., • Experience authoring and reviewing regulatory documentation preferred. Compensation is dependent on qualifications and experience About LEXEO Lexeo Therapeutics is a clinical-stage genetic medicine company headquartered in New York City, pioneering cardiac genetic medicine candidates to treat the root causes of inherited cardiovascular diseases. Our lead program, LX2006, targets cardiomyopathy associated with Friedreich’s Ataxia and anchors a broader pipeline addressing genetically defined conditions such as hypertrophic and arrhythmogenic cardiomyopathies. Backed by a strong financial foundation, Lexeo is positioned to translate groundbreaking science into durable clinical impact. Our work culture is a hybrid model with 2 days in the New York City office and 3 days working from home. LEXEO Therapeutics is an EEO employer committed to an exciting, diverse, and enriching work environment. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

Job Description Hi, we're Oscar. We're hiring a Data Scientist I 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. We're hiring several Data Scientists to support data science initiatives across multiple teams. In this role, you'll contribute to the development and maintenance of data pipelines, analytical models, and validation processes that power business decision-making. This position is well-suited for early-career data scientists who have strong technical foundations and are excited to grow their skills while working on real-world data problems in a collaborative environment. 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: $119,200- $156,450 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Build, maintain, and support data pipelines to ensure reliable, accurate, and timely data delivery., • Assist with the testing, validation, and refinement of statistical or analytical models., • Perform advanced analytical work and validation checks on datasets and model outputs., • Identify data quality issues, anomalies, or inconsistencies and help implement corrective solutions., • Collaborate with data leaders and cross-functional business partners to understand data needs and improve processes., • Partner closely with business, engineering, product and data stakeholders to deliver impactful solutions., • Write clear, maintainable analytical code and documentation., • Follow established data science standards, best practices, and compliance requirements. Requirements: • Bachelor's degree in a technical or quantitative field or 1+ year of relevant professional experience, • 1+ years of experience working with SQL or intermediate Python (for example, working with multiple data sources), • 1+ years of experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis Bonus points: • Master's degree in a technical or quantitative field, • Experience in healthcare, health insurance, or other regulated industries, • Exposure to statistical modeling, machine learning, or large-scale data processing 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 DescriptionWhat you'll be part of Garner is on a mission to transform the U.S. healthcare system — and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Applied Scientist II to join our Applied Science team. Garner is hiring Applied Scientists to design and ship the algorithmic systems at the core of our product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. 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: • Ship production algorithmic systems end-to-end, from problem framing to launch to iteration, • Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks, • Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship, • Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, • Bring new ideas to your work, experimenting with approaches beyond the obvious to get better results, • Produce rigorous, well-validated work others can rely on, and review your peers' code and analyses, • Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: • Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions., • AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely., • Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.What we're looking for:, • 2+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent advanced degree, • 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, • A solid command of the methods your work calls for and the data your models depend on, • Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem, • Strong communication skills, with the ability to present your work clearly to senior 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 feedbackWhat you'll get here You'll work on problems that matter, at a company working to change healthcare at scale. You'll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you'll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It's demanding by design. You'll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: • Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. 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. Compensation Transparency: The target base comp range for this position is $158,000 – $190,000. 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 DescriptionWhat you'll be part of Garner is on a mission to transform the U.S. healthcare system — and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the Role: We are seeking an exceptional Applied Scientist to join our Applied Science team. In this role, you will design, develop, and deploy the algorithmic systems that power Garner's products and drive meaningful impact for our members. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. What you will do: • Own the most ambiguous, high-stakes problems on the team end-to-end, and serve as a technical resource others rely on, • Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks, • Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship, • Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, • Find novel ways to frame and solve the team's hardest problems, proving out approaches that others build on, • Set the bar for quality by reviewing others' work with rigor, and build the standards and evaluation tooling the team relies on, • Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: • Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions., • AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely., • Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.What we're looking for:, • 4+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 2+ years of industry experience with a relevant advanced degree, PhDs preferred, • 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, • Deep technical range, with fluency across Garner's data and a habit of staying current with advances in the field, • 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 senior and external stakeholders, and to secure buy-in for cross-team work, • 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 feedbackWhat you'll get here You'll work on problems that matter, at a company working to change healthcare at scale. You'll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you'll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It's demanding by design. You'll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target base comp range for this position is $200,000 – $230,000. 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 Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. SC 2.0 is the engine powering our vision. Appian's Solutions Consulting team is in the midst of an exciting transformation—redefining what it means to be a trusted advisor in today's fast-paced, mission-driven environment. Our SCs don't just demo features—they tell stories, co-create with customers, and help shape strategy with technical credibility and business insight. Read More About SC 2.0 Here You can listen to our Global SC leader, Gregg Aldana discuss SC 2.0 here Appian's Game Changing Solutions Consulting Team - Do you enjoy solutioning with an award winning technology? Do you like working alongside the smartest and most creative people in the tech industry? Ready to take your career to the next level and have a tremendous amount of fun in the process? Come and join one of the most exciting, energetic and emerging areas of Appian that is poised to fuel the next stage of growth of this ambitious company and your career: Solutions Consulting. The Global Solutions Consulting organization at Appian is a team like no other out there. We are self-starters that are passionate about our mission and are redefining what it means to work in the Pre-Sales or Sale Engineering profession. Whether you are a seasoned veteran of Solution Consulting for many years or looking to pursue a new career in this area, this is THE TEAM…..THE COMPANY and THE MOVEMENT you want to be a part of. Appian Solution Consulting starts with the "Why" behind the mission critical solutions that are driving success for our customers. Through a combination of creative persona-based storytelling, technical solutioning, and business consulting, Appian's Solution Consultants are the driving force behind helping customers understand the business value that Appian's technology can provide during the sales cycle and beyond. Appian's Solution Consultants are the trusted advisors for customers, partners, sales, product, marketing and the company's leadership. Join this exciting team today to begin fueling your career! In this role, you will be a senior Solutions Consultant supporting pharma, biotech, medtech, and CRO clients. While you do not need to be a scientist, you should understand how Life Sciences organizations operate. To be successful in this role, you need • Deep and recent expertise in the Life Sciences industry that is demonstrated through knowledge of Life Sciences business processes such as Clinical Development, Quality Management, Regulatory Affairs, Pharmacovigilance, Manufacturing, and/or Medical Affairs., • Experience supporting digital transformation initiatives within pharmaceutical, biotechnology, medical device, or contract research organizations., • Understanding of GxP environments, FDA regulations, 21 CFR Part 11, and validated system requirements strongly preferred., • Experience working in an enterprise software sales position OR a client-facing technology advisory role within a Life Sciences institution or ISV (e.g., in transformation, architecture, or strategy)., • Technical depth to respond to all functional and technical elements of RFIs/RFPs, • Ability to strategically problem-solve by thinking outside-the-box to create innovative solutions that address complex Life Sciences' challenges., • Technical expertise to identify how Appian can fit into the wider organization, • Strong verbal and written communication skills; experience with customer interaction, requirements analysis, and presentations, • Ability to have technical discussions with Appian's product team., • Familiarity with production environments (application servers, web servers, databases) Basic Qualifications: • Bachelor's or Master's degree in Information Systems, Engineering, Computer Science, or a related field or equivalent experience, • 5+ years as a successful Pre-Sales Engineer OR 6+ years in a Professional Services/Consulting role, with a significant focus (3+ years) in the Life Sciences Industry, • Up to 70% travel to customer locations throughout the assigned region You may also have: • An advanced degree (MS, MBA, PharmD, MPH, or PhD), • The ability to fluently speak a second language, preferably Portuguese #LI-MB1 The base salary range per provided represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $125,000—$250,000 USD Tools and Resources • Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires., • Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities., • Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country—please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit appian.com. [Nasdaq: APPN] Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at ReasonableAccommodations@appian.com. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

K Health is looking for a Strategic Insights Analyst with an AI-first mindset to drive better decisions, faster. This role sits at the intersection of operations, data science, and AI-powered automation, making it ideal for someone who can combine rigorous analytical thinking applied to business intuition, while leveraging cutting-edge AI tools to generate insights and translate them into action. You'll play a pivotal role in shaping K Health's growth by working cross-functionally with Product, Operations, Marketing, and Finance teams to inform our strategic roadmap. This role requires someone who can think like a top-tier business consultant but execute like a data scientist—leveraging SQL, Python, AI agents, and data-driven decision-making to solve high-impact business problems at scale. This is a high-impact individual contributor role, perfect for someone who thrives in a fast-paced, highly collaborative, and AI-enhanced environment. This role requires onsite presence in our New York City office 4 days a week and does not provide immigration support. • Apply analytical rigor and AI-powered tools to strategic business problems, uncovering actionable insights that drive key company metrics through both traditional analysis and AI augmentation., • Enable self-serve analytics and empower stakeholders to access data to facilitate data-driven decision making at scale, • Partner cross-functionally with Clinical Operations, Marketing, Product and Finance teams to identify opportunities, develop hypotheses, and execute in-depth analyses using both traditional and AI-enhanced methods., • Develop and own key performance metrics, leveraging AI tools to automate monitoring, anomaly detection, and insight generation., • Leverage SQL and Python through AI agents to analyze large datasets more efficiently, build data models, and create self-updating dashboards that help scale decision-making., • Use statistics, data science techniques, and AI tools (e.g., regression analysis, forecasting, clustering, LLM-powered analysis) to drive better predictions and recommendations., • Build and deploy AI-powered analysis workflows using command line agents that can execute complex SQL queries, perform Python-based analysis, and generate insights autonomously., • Communicate insights effectively, using AI tools to help transform complex data into crisp, actionable recommendations for leadership and stakeholders., • Develop scalable operational processes that leverage our data assets in creative ways using data-driven techniques, large language models, automated pipelines, and AI agents., • 4-6 years of experience in analytics, strategy, consulting, business operations, or a related field, with demonstrated experience leveraging AI tools for productivity gains., • AI First Mindset—proven track record of identifying and implementing AI-powered solutions to enhance analytical workflows and business processes., • Strong SQL proficiency—ability to write complex queries and manipulate large datasets, with experience using AI tools to enhance SQL workflow efficiency., • Solid Python knowledge (e.g., pandas, NumPy, scikit-learn) with experience using Python in conjunction with AI agents and automation tools., • Experience with AI-powered analysis tools—familiarity with command line AI agents, LLM-based coding assistants, and automated analysis pipelines., • Solid foundation in statistics and data science concepts (e.g., hypothesis testing, regressions, forecasting) with understanding of how AI can augment these techniques., • Highly analytical and metrics-driven, with the ability to define KPIs, size opportunities, and measure business performance using both traditional and AI-enhanced methods., • Strong strategic problem solver—able to break down ambiguous problems and apply a first-principles approach while leveraging AI for faster iteration., • Excellent communication skills—able to translate data into compelling, actionable insights, using AI tools to enhance visualization and storytelling., • Scrappy and resourceful—you find a way to get things done, often by creatively applying AI tools to multiply your impact., • Fast learner—you can quickly grasp new concepts, tools, AI technologies, and business models., • Experience with BI tools (e.g., Looker, Tableau, Mode) and their AI-enhanced features, • Familiarity with machine learning concepts and MLOps, • Experience with measuring clinical outcomes, • Experience with prompt engineering and LLM optimization, • Exposure to A/B testing methodologies and automated experimentation platforms, • Experience building or deploying AI agents for business analysis, • Knowledge of AI workflow automation tools (e.g., Langchain, AutoGPT, or similar), • Hybrid work schedule with weekly lunches and stocked fridges, • Monthly social committees for company events, • 18 vacation days, 9 company holidays, 5 sick days, and 2 personal days, • Stock options for every full-time employee, • Paid parental leave, • 401k benefit, • Commuter Benefits, • Competitive health, dental, and vision insurance options Compensation: $120,000 - $150,000 USD Who We Are: Behind every leading health system is K Health's AI-powered virtual care engine. Esteemed health systems like Mayo Clinic, Cedars-Sinai, Mass General Brigham, Hackensack Meridian Health, and Hartford Healthcare partner with K Health to build and run modern primary virtual care clinics on their behalf. Our deeply integrated model modernizes the primary care loop by using AI to put humans first. For our patients, we offer clinical AI (i.e., PatientGPT) and unparalleled access to close care gaps around the clock. For our Providers, we deliver provider-serving agentic solutions (i.e., Perfect Note) to eliminate administrative overload and burnout. And for the health systems, we deploy our top-grade Virtualists in AI-powered virtual clinics 24/7 to capture the patients' care journeys at step one, retain the journey through the system for longitudinal care, and strengthen profitability. We're founded in 2016, headquartered in New York City, and backed by nearly $400 million from leading investors including Valor Equity Partners, Claure Group, Mangrove Capital Partners, 14W, Notable Capital, Lerer Hippeau, Primary Venture Partners, Comcast Ventures, PICO Venture Partners, Max Ventures, and other strategic healthcare partners. We offer competitive compensation packages based on industry benchmarks for function, level, and geographic location. Offer amounts are determined by multiple factors such as a candidate's experience and expertise. We are proud to be an Equal Opportunity Employer and consider applicants for employment regardless of race, ethnicity, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, pregnancy, childbirth and breastfeeding, age, citizenship, military or veteran status, or any other class protected by applicable federal, state, and local laws. We're deeply committed to building teams as diverse as the patients we serve and strive to cultivate an environment where everyone can bring their most authentic self to work. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our users. We are committed to maintaining the integrity of our hiring process and ensuring a safe environment for all candidates. All communication for job offers from K Health will come from email addresses ending in @khealth.com. K Health will never ask you to provide financial information about yourself during the recruitment process. We will never use personal email accounts or other domains for official correspondence. Our official job postings are only listed on our official website and reputable job boards. Be cautious of job offers from sources other than these platforms.

The Radiology AI & Informatics Group is seeking a Postdoctoral Physician-Scientist Research Fellow in the Department of Diagnostic, Molecular, and Interventional Radiology at the Icahn School of Medicine at Mount Sinai. This position will focus on multimodal AI for prostate cancer imaging. The research fellow will contribute to federally funded and institutionally supported research programs that develop and validate AI-driven tools to improve prostate cancer detection, characterization, and treatment guidance. This is an excellent opportunity to conduct innovative AI research powered by large-scale, real-world clinical data and to work directly with a team of AI scientists and world-renowned clinicians in radiology, pathology, and urology, gaining cross-disciplinary expertise that accelerates translational AI research from bench to bedside. The clinically trained Physician-Scientist Research Fellow will serve as the clinical anchor of our AI research, working alongside computer scientists, engineers, biostatisticians, and radiologists to ensure that the datasets, models, and validation studies are clinically meaningful and positioned for real-world impact. Responsibilities include: • curating and quality-controlling multimodal imaging and clinical datasets from PACS and the EHR;, • defining study cohorts through chart review and clinical phenotyping and linking imaging to reference standards such as biopsy and whole-mount pathology;, • developing annotation protocols/pipeline and establish ground truth;, • designing clinical validation and reader studies with appropriate endpoints and analysis plans; and, • coordinating and managing radiology fellows and attending radiologists in multi-reader studies. The candidate will also analyze diagnostic-performance results and lead manuscripts, abstracts, and grant applications. The qualifications are: (1) an MD or MD/PhD; (2) a strong interest in medical AI and translational research; (3) excellent skills at the interface of clinical and technical teams; (4) radiology training, familiarity with prostate mpMRI and PI-RADS, and clinical-research methodology experience are preferred (programming is a plus but not required). To apply, candidates should send the following materials to Dr. Yan Zhuang (yan.zhuang@mssm.edu) with the subject line "Physician-Scientist Postdoc Fellow Application - FirstName LastName": (1) a CV; (2) a brief statement of interests; (3) the earliest start date; and (4) a list of three references. The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $72,500.00 - $80,000.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

The Administrative Director will report to the Co-Directors of The Carol and Gene Ludwig Center for Research on Neurodegeneration (CGLC); Department of Neurology Chair with a dotted line reporting to Departmental Administrator/COO. The incumbent will provide administrative and financial support for day-to-day scientific operations and plays a key role in enabling the strategic direction of a complex, multi-institution, multi-investigator effort to employ powerful scientific resources in pursuit of the treatment and cure of Alzheimer's disease and related neurodegenerative diseases. The candidate will work closely with the Co-Directors to advance a series of research projects by coordinating closely with investigative collaborators, sponsors, and donors; managing administrative aspects of the Ludwig Center wet and dry laboratory operations and personnel; and ensuring compliance and quality within this extensive research program. A key role is in fitting-out, equipping and staffing new research space in the new Vagelos Innovation Laboratories at 167th Street and Audubon Avenue. The successful candidate will support the entire administrative life cycle of CGLC research projects. Will assist the Ludwig Center investigators with grant applications and working closely with NIH and other key sponsors. This individual will routinely make decisions with the co-Directors regarding the administration of significant and growing annual research expenses. The complex and rapidly expanding program consists of a rich mixture of both broad and focused research projects funded by multiple federal and philanthropic sources, including CGLFF Pilot Research Awards. The incumbent will also play a key role in the operations of the CGLC center, providing key support in areas such as strategic planning, development, processes implementation, communications, branding and website management, liaising and building relationships with internal and external collaborators, space and equipment management, events, HR, and the development of research resources in order to meet current and future needs. • Explore and develop new collaborative and funding opportunities to drive the CGLC program, (including NIH, philanthropy and foundations) The individual will facilitate the planning and implementing of new projects based on these new opportunities., • Responsible for financial strategic planning including annual and 3–5-year budgetary projections, in coordination with the Department of Neurology and VP&S. Suitable for various internal and external stakeholders., • Collaborate with philanthropic sources, physicians, scientists, regulatory professionals, executive staff and others both within CU and externally as necessary for development and execution of the CGLC's goals, ensuring their successful execution., • Working in collaboration with the co-directors to prioritize resource allocation to ensure that all research deliverables are met for the entire CGLC's program., • Oversee the general operation of the entire CGLC program, ensuring that ongoing administrative and operational processes support the goals and objectives of the program. Plan and lead routine project team meetings., • With the co-directors oversee the development and management of the CGLC budget in accordance with the financial goals and expectations of the program. Project budgetary requirements of new projects and work with Department Administrator and grants support personnel to finalize and implement project and sub-project budgets. Work closely with financial personnel to address budgetary constraints and strategize when funding considerations arise such as the need for a project extension or request for additional funding. Review the progress of subcontract sites and make determinations regarding routine financial administration of subcontracts., • Manage HR and faculty affairs, Center wet and dry lab personnel hiring, onboarding, offboarding, regulatory training and access to the facilities in collaboration with departmental HR pod., • Manage the purchasing and reconciliation functions of the CGLC and of the co-Directors and Center faculty research programs in collaboration with departmental financial personnel and business office, • Monitor with Center faculty productivity to ensure that all federal research grants deliverables are met in a timely manner and communicated to the funding agencies., • Establish mechanisms to continually evaluate and respond to short- and long-term operational and fiscal needs., • Liaise with research facilities in the Taub Institute, Dept of Neurology, Stem Cell, Brain Bank, Genome Centers (including the High Throughput Screening and Next Generation Sequencing facilities) to ensure easy access of the CGLC to these facilities., • Liaise with the co-Directors and the Scientific Center Advisory Committee and past and present Ludwig Scholars to identify the new annual topic for Symposia, Pilot Grant, Stimulus Grant and other center-wide academic activities., • Publicize topics and timelines for the Pilot Award competitions;, • Establish the peer-review team and organize the review sessions, • Coordinate with grantees to present their data at 12 and 24 months at Neurology Grand Rounds / CGLFF Pilot Grant Research Day., • Ensure timely reporting of progress to the foundation, • Work with the awardees to access the necessary facilities, and expertise to take their results to the next level (academic, industry support, patent coverage)., • Work with the co-Directors to designate the topic of the Annual CGLC Scientific Symposia., • Independently identify and book meeting facilities, catering, sponsors and speaker invitations for the Annual CGLC Scientific Symposia., • After due consultation with the co-directors and department chair proactively interact with the Carol and Gene Ludwig Family Foundation (CGLFF) personnel on behalf of the co-Directors, to ensure that the CGLFF is fully briefed on progress and plans for the CGLC's research program., • After due consultation with co-directors and center faculty interact with other sponsoring agencies (such as NIH program officers or industry sponsors), key project personnel, new donors and potential donors, and VIP supporters and participants, on behalf of CGLC Principal Investigators., • Write formal and informal communications regarding project progress updates and share directly with sponsors, industry collaborators, and other members of the financial/administrative leadership., • Communicate weekly progress updates to CGLFF via email and maintain monthly recurring meetings with CGLFF, co-directors and the chair of the department., • Draft text related to the CGLC's program for a wide range of publication contexts, such as draft press releases and text of publications for scientific journals., • Represent the CGLC program in development and fundraising efforts. Staff Management: • Support the co-Directors by maintaining oversight of all personnel working for the program., • With center faculty, set individual strategies and establish standards for hiring, performance appraisal, and competency assessment. Provide input into personnel compensation and salary setting decisions. Establish job expectations and methods for measurement of standards for all personnel., • Coordinate with Human Resources and administrative leadership in the development and implementation of policies and procedures that apply the program., • Maintain awareness of team engagement; identify and respond to key challenges and areas of opportunity. Operations Management: • The incumbent will work with the co-Directors and CU space planners to continually monitor and optimize research space and office utilization to meet the ongoing needs of the center, as well as its future needs for fitting-out, equipping and staffing of new research space in the new Vagelos Innovation Laboratories at W167th and Audubon., • Work with the co-Directors to develop a plan for acquiring and managing high-end shared equipment (centrifuges, microscopies, computational equipment), and develop sustainable funding models for equipment management., • Work with the co-Directors to recruit new staff at investigator, scientist and technical levels., • Work with Center faculty to draft IRB protocols, IACUC protocols and other compliance documentation for multiple projects., • Ensure compliance with all regulatory requirements for animal, human issue, human data, clinical and computational research., • Convey to project team and ensure compliance with institutional policies and procedures., • Perform other related duties and responsibilities as assigned/requested. Minimum Qualifications • Bachelor's degree or equivalent in education and experience, plus five years of related experience. Preferred Qualifications • A PhD in a relevant field of neuroscience, bioinformatics, molecular or statistical genetics, spatial omics, or computational biology is strongly preferred., • Published scholarly work in a related field., • Experience with Columbia University Medication

At Pfizer, our purpose is breakthroughs that change patients' lives. As we implement our AI Transformation, our GTM and Adoption team helps turn digital investment into real impact by understanding and removing barriers, driving high-impact engagement, and ensuring the new digital platforms we launch become embedded into how our colleagues work. This is a product marketing role. The products are internal AI platforms. The market is roughly 80,000 Pfizer colleagues around the world. Positioning, segmentation, launch, and demand generation all apply here, with adoption and retention as the scoreboard. The craft at the center of the role is positioning: holding one argument per platform and telling it in many ways. A scientist in the lab, a supervisor on a manufacturing line, and an analyst in finance should each recognize their own work in the same value proposition, and a colleague who has never heard of a platform needs something different from one who tried it once and stopped. Working norms, language, and attitudes toward AI at work also differ across our markets and business lines, so messaging here is adapted for the audience rather than translated once and sent everywhere. What we are claiming stays constant. How it is told, to whom, and at what point in their journey is where this role does its work. This role translates technical features into highly compelling, user-centric narratives, running internal product launches with the same rigor, creativity, and brand building typically reserved for external consumer technology launches. Most internal launch emails and mandatory announcements get ignored, and that's the bar this role is here to clear: before defaulting to the standard internal-comms playbook, this role tries something unconventional first, and builds campaigns around what actually earns attention rather than what's easiest to schedule. Positioning, Messaging & Segmentation • Segment by lifecycle stage rather than by org chart. Match messaging to where a colleague sits with a platform: one who has never heard of it needs a reason to care, one who tried it once and stopped needs a different reason to come back, and one who uses it weekly needs to know what changed., • Build divisional and cultural understanding into the work. Language, regulatory context, working norms, and attitudes toward AI at work differ across markets and business lines, and a message that reads as exciting in one place can read as overselling or as a threat in another. Partner with divisional and local communicators so messaging is adapted rather than translated., • Ground the WIIFM ("What's In It For Me") in the colleague's actual workday: the task that gets shorter, the handoff that stops breaking, the report nobody has to rebuild by hand. Avoid capability claims that do not name a job somebody is trying to get done., • Own the competitive frame. Position each platform against what colleagues are choosing instead, whether an external consumer AI tool, a manual workaround, or doing nothing, and make the honest case for the internal option rather than assuming the audience is captive., • Test messaging with real colleagues before it ships, in more than one division, and rewrite what does not land., • Keep the message library current as platforms change, and retire claims that stop being true. Go-to-Market & Launch • Set the channel and audience strategy for each launch, deciding which channels to use and who to target, and own the resulting content end to end, creative through send., • Coordinate channel and audience decisions with the Peer Advocacy & Community Lead so broadcast and community messaging reinforce each other rather than duplicate or conflict., • Write the go-to-market plan for every major launch: target audience, messaging pillars in play, channel mix, sequencing, asset list, dates, and the adoption number the launch is meant to move. A launch is a plan on paper before it is a calendar invite., • Run the pre-launch phase. Early access cohorts, waitlists, teasers, and champion previews build demand ahead of general availability so day one has an audience waiting rather than an audience being informed., • Sequence the launch with the CX Training Lead and the Peer Advocacy & Community Lead so messaging, training readiness, and community activity land in the right order rather than competing on the same day., • Run a post-launch review after every Major launch: what the campaign moved, what it did not, and what changes in the next one. Feed the pattern back into the reusable launch approach. Demand Generation & Funnel Ownership • Own the top of the funnel end to end, from unaware through interested to first use. Know the drop-off at each step, and fix the weakest step rather than adding more volume at the top., • Build the always-on layer that runs between launches so demand does not depend on a campaign being live: placement on the surfaces colleagues already hit, internal search and intranet presence, the platform site, and the moments new joiners are most open to trying something. Enablement, Standards & Message Governance • Establish the reusable launch playbook: message standards, frameworks, and templates that later launches and other teams run on., • Enable the people who carry the message. Equip stakeholders, champions, and divisional communicators with the positioning, proof points, and assets to make the case in their own words. This is sales enablement without a sales team., • Facilitate knowledge sharing through communication channels that connect colleagues with successful practices, lessons learned, and success stories., • Prepare colleagues for change by developing communication strategies that support adoption of new tools, workflows, and behaviors. Platform & Strategy Partnership • Partner closely with the Experience Architecture and Product teams to understand what each platform is and the CX strategy defined for it, so positioning and messaging stay grounded in the platform's actual intent., • Feed user insights, friction points, and feature requests surfaced through campaigns and interviews back to the teams building and evolving each platform. Ethical Use & Responsible AI Messaging • Define clear, plain-language guidance on the ethical and responsible use of each AI platform, appropriate use cases, data handling, and when to trust versus verify AI output, as part of launch and ongoing messaging., • Shape that guidance in partnership with Legal, Compliance, and Regulatory Affairs so it stays accurate and consistent as platforms evolve., • Share ethical-use guidance directly with the CX Training Lead so it gets built into training content, and with the Peer Advocacy & Community Lead so it is reinforced through the champion network and community norms. Legal & Regulatory Alignment • Own the legal, compliance, and regulatory review checkpoint for platform messaging, built into the launch timeline as a fast, repeatable step rather than a one-off cycle, so nothing overstates a platform's capabilities, data handling, or compliance posture., • Know which platforms touch regulated, clinical, or personal data, and keep messaging current with internal policy on AI-related communications. Producing the Work, Not Just Briefing It • Write, design, and produce the core campaign assets, launch copy, short-form video, key visuals, on a real production cadence., • This is not a brief-an-agency-and-wait role; the person hired is expected to make the work themselves or partner internally with the design teams, especially in the early days of a launch when speed matters most. Campaign Metrics Tied to Real Adoption • Set quarterly targets for campaign metrics (click-throughs, video views, waitlist sign-ups), but treat none of them as the finish line., • Ensure every campaign metric ladders up to the platform's two core success metrics, 30-day active use and the Sean Ellis test., • Partner with the Adoption Analytics & Insights Lead on the dashboard that shows that connection, not just the vanity numbers. Basic Qualifications • Bachelor's degree in Marketing, Communications, Digital Media, or a related field.

The Medical Director, Clinical Development Lead, Hematology will lead the clinical direction, planning, execution, and interpretation of clinical trials of one or more Heme-oncology clinical development programs, in close collaboration with the Alliance partner. Participates in and may lead cross-functional teams to generate, deliver, and disseminate high-quality clinical data supporting overall product scientific and business strategy. The (Senior) Clinical Development Director will be focused primarily on Clinical development of the Menarini-Stemline Haematology Portfolio. Participates or leads and demonstrates ownership of the design and implementation of multiple clinical development protocols within the haematology clinical program of an asset in support of the overall product development plan, based on strong medical and scientific principles, knowledge of compliance and regulatory requirements, Menarini-Stemline's customers, markets, business operations, and emerging issues. Oversees project-related education of investigators, study site personnel, and Menarini-Stemline study staff. Has the overall responsibility for monitoring overall study integrity, and review, interpretation, and communication of accumulating data pertaining to safety and efficacy of the molecule. Along with Clinical Operations, may be responsible for ensuring agreed-upon study enrollment and overall timelines for key deliverables. Responsible for assessment and reporting of serious adverse events per corporate policy and regulations for those protocols for which they are responsible. Responsible, in collaboration with the clinical scientist, for analysis, interpretation, and reporting of scientific content of protocols, Investigator Brochures, Clinical Study reports, regulatory submissions and responses, and other program documents. May oversee the work of Medical and/or Scientific Directors and of Clinical Scientists working on the same or related programs. May serve on or lead Clinical Strategy Teams, with responsibility for development of a rigorous, cross-functionally-aligned, vetted Clinical Development Plan with full consideration of contingencies and alternative approaches. In the role of CST Lead, responsibilities may include supervision of matrix team members and serving as Clinical Research representative to lend clinical development and medical expertise to Asset Development teams. May serves as an in-house clinical expert for one or more molecules and diseases in the therapeutic area, coordinating and leading appropriate scientific, clinical and medical activities with internal stakeholders as they relate to ongoing projects. May participate in or lead clinical development contributions to due diligence or other business development activity. As required by program needs, contributes to partnership with Discovery colleagues to design and implementation of clinical translational strategies. May acts as clinical lead and actively solicits opinion leader interactions related to the disease area(s); partners with Oncology Development, Regulatory, Medical Affairs, Commercial and other functions in these activities as required, consistent with corporate policies, to ensure that broad cross-functional perspectives are incorporated into Oncology Clinical Development Plans and protocols as appropriate. Stays abreast of professional information and technology through conferences, medical literature, and other available training, to augment expertise in the therapeutic area. May represent Menarini-Stemline at key external meetings. Responsible for understanding the regulatory requirements related to clinical studies and global drug development and accountable for complying with those requirements. May serves as a clinical representative for key regulatory discussions. Ensures adherence to Good Clinical Practices, pharmacovigilance standards, standard operating procedures and to all other quality standards in conducting research. Medical Doctor (M.D.) or non-US equivalent of M.D. degree with relevant therapeutic specialty in an academic or hospital environment. Completion of a residency program strongly preferred. Completion of a subspecialty fellowship (in heme-onc) is desirable. Minimum of 3 years of Oncology industry experience. Preferred 3+ years Oncology experience in Biotech/Pharma industry. Clinical trial experience with relevant classes of agents in the pharmaceutical industry, academia, or equivalent. Ability to run a complex clinical research program independently. Ability to support a global scientific and business strategy. Extensive knowledge of clinical trial methodology, regulatory and compliance requirements governing clinical trials, and experience in development of clinical strategy and the design of study protocols. Must possess excellent oral and written English communication skills, including presentation skills Ability to exercise judgment and address complex problems and create solutions for one or more projects. Proven leadership skills and ability to bring out the best in others on a cross-functional global team. Must be able to lead through influence. Proven ability in establishing and maintaining cross-functional relationships with a wide range of internal and external stakeholders Critical thinking skills with unique problem-solving abilities for new and novel obstacles Excellent strategic planning abilities Willingness to travel Strong analytical skills, especially regarding understanding and interpreting scientific and clinical research and literature, are essential Please note: This position is classified as a corporate office position. In accordance with the New York state employer convenience rule, Stemline will withhold New York state income taxes for all corporate office employees, regardless of whether these employees work in New York or remotely. Base Salary Range of $280,000 - $340,000 plus annual bonus & long-term Incentives. Menarini Stemline offers generous compensation and benefits packages, including, Fidelity 401(k) (with company match), Anthem Premier PPO and HDHP insurance plans, Company paid Basic Life & AD&D insurance and pre-tax FSA/HSA programs. Menarini Stemline is committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.

Passionate about precision medicine and advancing the healthcare industry?Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.Associate Principal Scientist, PharmaR&DBoston, MA | New York City, NY | Chicago, ILAre you passionate about using clinico-genomics to transform cancer therapeutic care?Tempus is a technology company at the forefront of the expansion of multi-modal healthcare data generation and the application of artificial intelligence (AI) to fundamentally change cancer care. Tempus is growing, and we are seeking exciting new talent to join the team.Tempus' proprietary platform connects an entire ecosystem of real-world data to deliver real-time, actionable insights to physicians and drug developers. As a Tempus employee you will have access to the world’s largest real-world patient clinical data set linked to claims, genetics, and digital pathology. Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care.The Associate Principal Scientist, PharmaR&D will design, propose and execute research projects for Tempus’s top biopharmaceutical partners. This role will require staying up to date in research and industry trends in oncology drug development to identify specific areas where the Tempus platform can provide impact to our partners portfolio. This role involves performing complex computational analyses and guiding algorithm development for advancing cancer precision medicine for patients across the Tempus network. The ideal candidate will possess strong real-world data analytical skills, experience in applying machine learning and statistical models to big data, and the ability to communicate complex findings to various stakeholders.DescriptionScientific Communication: Expert in navigating client interactions; Present highly technical results and methods clearly and meaningfully to diverse sets of external stakeholdersReal World Data Expertise & Technical Oversight: Lead the derivation of complex real-world endpoints using extensive coding, demonstrating deep comprehension of Tempus clinical and molecular data structures and complexity, while also serving as an expert on the methodological nuances and limitations of real-world data.AI & LLM Innovation: Incorporate LLMs, agentic workflows, foundation models and other AI tools into day-to-day workflows to accelerate code development, discovery, documentation, review, and insight generation. Collaboration: Work with Research, Engineering & Data Science teams across Tempus’ expansive data science community to develop and deliver innovative computational solutions.Drug R&D: Partner with big pharma clients. Become proficient in the clients’ strategies, drug modalities and pipeline to identify where the Tempus platform can add value. Continuous Improvement: Stay current with industry trends, best practices, and advancements in computational oncology research. Apply this knowledge to enhance research methodologies and improve overall research quality QualificationsEducation and experience: Experience at a Pharmaceutical company or in a client facing analytical roleAdvanced education in epidemiology, biostatistics, data science, public health, or related fields, to the level of either:PhD and additional 4+ years of working experience Masters and additional 6+ years of working experienceTechnical/Scientific Skills: Expert-level proficiency in observational late stage trial data or real-world healthcare data, specifically in designing and implementing complex time-to-event methodologies (survival analysis).Track record of leading clinical/RWD analytical studies from initial scoping through to publication or dissemination.Proficient in R, Python, and SQL, and respective packages for computational biology. Strong understanding of cancer biology.Strong peer-reviewed publication record.Adherence to good software engineering practices (version control, documentation).Communication Skills: Expert in navigating client interactions; Present scientific findings clearly and meaningfully to diverse sets of external stakeholders. Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences. Motivated: Excel in a dynamic environment, seamlessly adapting to shifting priorities, and self motivated to explore portfolio related opportunities. Preferred Skillsets/BackgroundExperience in clinical trial design (particularly Phase II-III) in the clinical development space.Extensive proficiency with claims, EHR, or registry data.High-level familiarity with NCCN guidelines and the ability to interpret real-world outcomes within the context of the current oncology standard of care.Previous experience analyzing biomarker, genomic, or other high-dimensional molecular data alongside clinical datasets.Experience with: Package development, tidyverse, Git, matplotlib, Pandas, Jupyter NotebookProficiency applying machine learning, statistical modeling, LLM-based coding assistants (e.g., Copilot, Cursor) and agentic frameworks to support data analysis.CHI: $155,000-$200,000 USDNYC/SF: $165,000-$210,000 USDThe expected salary range may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. SummaryLocation: Boston; Chicago; New York CityType: Full time

Experience in healthcare, digital health, or another regulated data environment. Flagler Health is building the clinical operating system for modern musculoskeletal care. We're hiring a Senior Data Scientist to own the analytics that tell us how the product and the business are actually performing.

We're looking for a Staff Data Scientist to be the person who understands our data deeply enough to know what's possible and curious enough to prove it. We have a truly unique data set within the industry, connecting clinical data to trial data across 80+ trial sites. Iterative Health is a healthcar

Data Scientist will work with biostatistics, data management, clinical development, and medical affairs team to provide data analytics and data science solution in supporting clinical development program and evidence generation activities.

Postdoctoral Clinical Research Scientist. We are hiring a Postdoctoral Clinical Research Scientist to build the evidence base for AI-delivered mental health care. Collaborate across clinical, product, engineering, legal, and policy to make sure our research is both rigorous and actionable, and that

Expertise in clinical data types and structures, including CCD data, lab results, clinical notes, medical claims, pharmacy data, and administrative healthcare data. Develop analytics by building well-documented, validated, and reusable data assets (tables, views, features) that empower analysts and

Senior Scientist II, Data Solutions - Sales - RWE & Insights is responsible for cultivating and growing Tempus partnerships with pharmaceutical and biotechnology clients to support them in advancing their research, clinical and/or commercial programs. Senior Scientist II, Data Solutions - SalesPassi

Passionate about precision medicine and advancing the healthcare industry?Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.Translational Scientist, Applied Machine Learning and Agentic AI, Pharma R&DLocation: New York, NYThe Translational Scientist, Applied Machine Learning and Agentic AI will contribute to the technical development of cutting-edge agentic frameworks designed to automate the discovery of novel prognostic and predictive models in oncology. This role sits at the intersection of advanced Large Language Model (LLM) orchestration and computational biology. You will be responsible for building and refining "deep agents" capable of hypothesis generation, experimental design, and multimodal ML modeling utilizing foundation models.In this role, you will be a key technical contributor, working closely with senior scientists and engineers to implement system designs and ensure code quality. You will apply advanced scientific methodologies to develop new predictive models and utilize causal inference frameworks to analyze vast multimodal oncology data, helping to scale scientific discovery from a manual process to a high-throughput, automated engine.DescriptionData Expertise: Tempus has one of the largest multimodal patient datasets ever collected, providing a unique opportunity to work with extensive and diverse data. Become an expert in Tempus’ vast epidemiological, clinical, genomic, transcriptomic and pathology imaging data, along with the latest tools and techniques for their analysis and modeling. Teamwork and collaboration: Work with Research, Engineering & Data Science teams across Tempus’ expansive data science community to develop and deliver innovative computational solutions.Co-develop solutions with Pharma partner science and clinical teamsDrug R&D Expertise: Work with leading pharmaceutical companies. Gain proficiency in their strategies, drug modalities, and pipelines to identify where the Tempus platform can add value.Scientific Communication: Skillfully navigate client interactions to extract and communicate the most impactful insights driving new R&D opportunities; effectively communicate complex technical results and methodologies to diverse external stakeholders.Personal development: Continuously immerse yourself in the latest industry trends, best practices, and advancements in machine learning and AI to revolutionize drug R&DResponsibilitiesAgentic AI: Develop complex, state-of-the-art agentic workflows. Build agents capable of long-horizon planning, tool use and "co-scientist" reasoning.Multimodal Modeling: Leverage oncology foundation models to integrate DNA, RNA, H&E, and clinical data into predictive algorithms. Scientific Innovation: Collaborate with clinical scientists and pharma partners to define high-value use cases, such as clinical trial design support and treatment de-escalation.QualificationsEducation and experience:Minimum: PhD (or Masters degree with 3+ years of relevant experience).Combining:Quantitative and computational skills, specifically in AI agent based workflows (e.g. Applied Machine Learning, Generative AI, Mathematics, biostatistics).Biological, medical, or drug development knowledge and data (e.g. oncology, RWE, medical science, or clinical drug development).Technical/Scientific Skills:Agentic Frameworks: Proficiency in Python and orchestration frameworks, specifically LangGraph (strongly preferred) or similar. Experience building deep agents with complex state management and graphs.LLM Application: Deep knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), function calling, and evaluating non-deterministic LLM outputs.Machine Learning: Strong foundation in survival analysis (CoxPH, RSF) and evaluation metrics for oncology models. Software Engineering: Adherence to software best practices (unit testing, git) and experience designing scalable systems.Experience working with clinical trial or real-world data, clinical guidelines (e.g., NCCN for oncology) and emerging RWE methodologies Track record of success: proven in peer reviewed publications or other proven impact.Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences. Motivated: Thrive in a fast-paced environment and willing to shift priorities seamlessly.Preferred Skillsets/BackgroundExperience in integrative modeling of multi-modal clinical and omics data, preferably with multimodal embeddings and foundation models. Strong understanding of data and artificial intelligence in Oncology.Understanding of cancer biology and clinical data.Experience with deploying ML models in cloud environments.CHI: $100,000-$150,000NYC/SF: $120,000-$160,000The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. SummaryLocation: New York City; Boston; Redwood City; ChicagoType: Full time

Know Your Rights: Job SummaryLocation: US-NJ-PassaicID: 2026-274530Category: Clinical ProfessionalPosition Type: Per DiemShift: VariableJob Type: Non-Exempt.

This position is for a Clinical Development Medical Director within the prifetrastat program. This individual contributor will be responsible for supporting clinical trial(s) and lead sub teams in clinical development. The successful candidate should ideally have prior experience in clinical trials, supporting development programs, health authority interactions and demonstrated leadership capabilities to ensure that the clinical development program meets scientific, ethical, and regulatory standards. • Conduct medical monitoring activities including eligibility assessment, data review and safety monitoring., • Lead peer-to-peer interactions with investigators, • Serve as the point of contact for clinical issues between the study team, investigators, ethics committees, steering committees, and regulatory authorities., • Lead and contribute to development and maintenance of clinical trial and regulatory documents, in collaboration with Clinical Scientist and the cross-functional team., • Provide clinical development leadership across several study teams., • Serve as the Clinical Development representative on subteams including for Marketing Authorization Applications., • Collaborate with the Global Development Team to create and refine development strategies., • Represent the company in external engagements or as committee member in joint collaborations., • Collaborate with Clinical Scientists to review and interpret clinical data, identify key findings and implications, and communicate to internal and external stakeholders., • Maintain a high level of clinical expertise and professional competence by staying abreast of the latest developments, literature, and guidelines to advise on and drive current and future clinical development plans., • As medically qualified individual, the successful candidate must have the following qualifications:, • Obtained a primary medical degree (e.g., MD, DO, MBBS, MBChB) from a recognized medical school/university and has 4+ years of experience in biopharmaceutical industry in clinical research and development., • Been licensed by a licensing body/health authority to prescribe medicines independent of Supervision for at least 2 years post their intern/house officer/foundation period., • Board certified/eligible in oncology or equivalent preferred, • Breast Oncology experience (2+ years), • Late phase clinical development experience preferred Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Travel to scientific conferences / meetings several times per year, as needed Relocation support may be available Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week The annual base salary for this position ranges from $239,900.00 to $399,800.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 25.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.

Eurofins PSS Ireland Ltd is seeking an Analytical Clinical Chemistry Scientist in Rensselaer, NY. The ideal candidate has a chemistry degree with 2–4 years of lab experience (or MS with 0–2 years), strong attention to detail, and the ability to work independently in a GMP-compliant environment.