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This position is for a Medical Director within the CDK4 program. This individual contributor position will be responsible for supporting clinical trial(s). The successful candidate should ideally have prior experience in clinical trials and supporting development programs. ROLE RESPONSIBILITIES Study-level Clinical Development Leadership • Collaborate with Clinical Scientists to provide clinical leadership across 2-3 study teams that is scientifically rigorous and aligns with company objectives., • Conduct medical monitoring activities including eligibility assessment, data review and safety monitoring., • Lead peer-to-peer interactions with investigator., • Serve as the point of contact for clinical issues between the study team, investigators, ethics committees, steering committees, and regulatory authorities., • Collaborate with Clinical Scientist to review and interpret clinical data, identify key findings and implications, and communicate to internal and external stakeholders., • Maintains 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. BASIC QUALIFICATIONS • Medical degree and 4 years clinical experience, • Industry experience preferred PREFERRED QUALIFICATIONS Board certified/eligible in oncology or equivalent Breast Oncology 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. Relocation support 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 $226,300.00 to $377,100.00. 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. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act 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. EEO & Employment Eligibility 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 ___ 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 ___. 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. Medical

Job Summary This position is for a Senior Medical Director within the atirmociclib 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. Job Responsibilities Clinical Development Leadership on Study Teams and Development Subteams • 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., • 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., • Medical degree with 5+ years of industry experience, • Clinical oncology experience (typically 4+ years) Preferred Qualifications Board certified/eligible in oncology or equivalent preferred Breast Oncology experience (2+ years) Organizational Relationships Reports to Global Development Lead and partners closely with subject matter experts within cross-functional study team, Pfizer Oncology Division and counterparts in other divisions within Pfizer. 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. 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 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. NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS Travel to scientific conferences / meetings several times per year, as needed Relocation support available Work Location Assignment: Hybrid The annual base salary for this position ranges from $242,000.00 to $403,400.00. 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. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act 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. EEO & Employment Eligibility 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 ___ 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 ___. 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. Medical

Job DescriptionWhile we don't currently have roles open on our performance team, we're always on the lookout for incredible people, and slowly building a pipeline of candidates for our Performance Technician position. If you feel your experience and interests align with the following, and you're passionate about the space we're in and the athletes we serve, feel free to leave your résumé with us here. The Performance Technician is a part-time, hands-on role responsible for the administration of performance testing batteries within our sports science facility. This position supports a critical tier of our holistic human performance assessment, producing key metrics used by our medical and performance teams. As the in-person representative of our organization, the Performance Technician plays a pivotal role in delivering an exceptional member experience. The role involves direct engagement with elite and avid athletes, guiding them through sport-specific performance tests in a way that is clear, engaging, and aligned with their goals. We’re looking for someone with high energy and enthusiasm—someone who can keep members engaged, motivated, and excited throughout the full assessment experience. Technicians are expected to follow standardized procedures, operate cutting-edge sports science technologies, collect and organize performance data, and summarize key findings for internal stakeholders. Success in this role requires a strong background in coaching, customer service, sports science, and exercise physiology, as well as a deep appreciation for holistic health and wellness in the context of athletic performance. This position is based in New York City.Education & Certifications • Bachelors in Kinesiology/Exercise Science, or similar, • Certified Personal Trainer, Certified Strength & Conditioning Specialist, Clinical Exercise Physiologist, or similarExperience, • 2+ years experience as a Sports Scientist, Sports Performance Coach, or Personal Trainer, using data to drive clinical/performance decision making2+ years experience in a customer relationship rolePersonality, • Natural Leader: Unique ability to open doors in the potential of others, guiding them and supporting them toward their best, • Adaptable Conversationalist: Highly sociable, with an organic ability to form quick relationships; can quickly read the personality-type of a member, and adapt conversation style & tone accordingly, • Consistent Bringer of Energy: Contagious enthusiasm, that motivates members to engage and participate to the top of their abilities; consistently creates a lively environment, • Detail Oriented: Incredibly organized and attentive to detail, meticulous in assessment setup, flow, delivery, and data collection; thrives in a repeatable system mentality, • Confident Salesperson: Can comfortably explain the “why” of granular tests and holistic health, in a way that is individualized and sports-specific, • Health and Performance Obsessed: walks the talk of our members; active to the point of obsession, dialed and focused on personal holistic health principles (nutrition, sleep, mental health), believes and practices the necessity of taking proactive steps to improving life-long athleticismNice to Have, • Personal experience as an avid athlete or endurance sport competitor (specifically running or cycling), • Familiarity with DEXA body composition analysisResponsibilities, • Administer the sports specific testing batteries for members, including tests specific to mobility, motor control, strength, power, and aerobic capacity, • Learn and perfect the standard operating procedures of the test batteries (setup, directions, cues), ensuring the overall testing experience is seamless and repeatable, • Efficiently and accurately organize all data and results into the internal athlete management system, • Collaborate cross functionally with the medical and performance team, to ensure the athlete’s performance (both quantitative and qualitative) is fully understood, • Continually research performance tests, to assist in perfecting the companies testing batteries from an evidence based lens

A company is looking for a Clinical Data Scientist to support a Federal Government customer by integrating and analyzing regulatory data.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions. Responsibilities • Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications., • Conduct rigorous analysis and validation of machine learning algorithms and prototypes., • Explore novel methods for processing and analyzing large, complex medical imaging datasets., • Collaborate with engineering teams to deploy ML algorithms in clinical practice., • Present research findings, insights, and recommendations to internal stakeholders and external collaborators., • Author scientific publications and contribute to patent development., • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ years of relevant experience., • Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning., • Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection., • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis)., • Proficiency in Python, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results., • Ability to translate complex clinical requirements into machine learning solutions., • Strong critical thinking, problem-solving, and project management skills., • 2+ years of postdoctoral research or industry experience., • Hands-on experience in developing and applying advanced deep learning models, including vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques. *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role Oscar is in a unique position to drive impact through high engagement with members and a variety of high-tech touchpoints (such as virtual care or superagent).The Senior Data Scientist develops personalized multi-channel marketing campaigns to influence behaviors that Oscar members take that are key to their health. You will ideate, scope business cases, design targeted pipelines by using predictive models, launch campaigns, monitor and optimize campaigns in real time to attribute best performing marketing variants, and measure campaigns. This will involve research, pipeline/ML model development, optimization techniques such (e.g. MAB), and measurement techniques (traditional statistical and casual machine learning). You work cross functionally with marketing and clinical teams, dedicated to a specific goal of lowering medical cost. You will have accountability for the success of each campaign. You will report to the Senior Director, Data Science. 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: $158.400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Works with team and manager to impact longer term strategies and roadmap, • Sets shorter term roadmap for team, • Interacts and collaborates closely with data and business counterparts across functional areas, • Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses, • Compliance with all applicable laws and regulations, • Other duties as assignedQualifications, • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processingBonus points, • Advanced degree in a quantitative or technical field 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 () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences., • Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers., • Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance., • Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization., • Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models., • Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency., • A strong track record in either:, • Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or, • Deep experience as a data scientist working across the data science lifecycle — from understanding messy, complex datasets to training or fine-tuning models that deliver measurable business impact., • Experience integrating and deploying foundation models via platforms like OpenAI, Google Vertex AI, or similar., • A clear understanding of how to work with health-related datasets, including user behavior, care journeys, health profiles, and provider interactions., • Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.)., • Familiarity with cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them., • Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows., • A collaborative mindset, strong communication skills, and a passion for using AI to improve healthcare outcomes., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. 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 San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly 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. 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 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 ). 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: . For general and additional inquiries, please contact us at .

Job DescriptionAbout Amigo Amigo builds AI agents for healthcare—systems that handle patient conversations, take clinical actions, and escalate to humans when needed. Clinical research focuses on healthcare-specific problems: evaluation frameworks for clinical safety, methods for learning what works across patient populations, and ensuring agent behavior meets the standards healthcare organizations require. Series A from leading investors. Clinical validation and evidence generation in partnership with leading academic medical institutions. About this role As a Clinical Research Scientist at Amigo, you'll lead research on clinical AI safety, evaluation frameworks, and evidence generation. You'll design studies that validate agent performance across patient populations, develop metrics for clinical quality, and publish findings that advance the field. Your clinical expertise ensures our agents meet the standards required for autonomous operation in healthcare. This role bridges clinical practice and AI research. You'll work directly with our agent engineering and data science teams to translate clinical knowledge into measurable evaluation criteria and safety guardrails. What you'll do * Design and lead clinical validation studies for AI agent performance * Develop evaluation frameworks and metrics for clinical safety and quality * Publish research on clinical AI safety and agent evaluation methodologies * Collaborate with academic medical institutions on research partnerships * Define clinical protocols and escalation criteria for agent behavior * Review agent outputs and failure modes from a clinical perspective * Contribute to regulatory submissions and compliance documentation * Advise on clinical workflow design and patient safety considerations What we're looking for * MD or equivalent medical degree with active clinical license * Clinical experience in primary care, internal medicine, or relevant specialty * Track record of clinical research and peer-reviewed publications * Understanding of clinical quality metrics and patient safety frameworks * Experience with clinical study design and IRB processes * Ability to translate clinical expertise into technical requirements * Strong communication across clinical, research, and engineering teams * Interest in AI/ML applications in healthcare Nice to have * Fellowship or additional training in clinical informatics * Experience with digital health or health technology companies * Background in quality improvement or patient safety initiatives * Familiarity with FDA guidance on clinical decision support and AI/ML * Experience with EHR systems and clinical workflow optimization * Publications in clinical AI, digital health, or health informatics Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth * Daily catered lunch and dinner Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Development setup of your choice * Academic collaboration opportunities Compensation Range: $150K - $300K

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for a Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance – e.g., answering questions like, how do we know which providers deliver better surgical outcomes or what data concepts do we need to build out to improve our analysis. Your work will directly impact our member recommendations and provider-facing data products. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Partner with data scientists and clinical experts to shape how we define provider performance metrics, apply statistical rules, and model provider behavior, • Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors, • Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates., • Design scalable data pipelines that ingest, clean, and enrich healthcare provider data., • Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions.What you will bring to the team:, • 2-5 years professional experience in data science, product analytics, and/or healthcare., • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders., • Strong Python and SQL skills., • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success., • Experience working in a rapidly evolving startup environment., • A desire to be a part of our mission to improve the U.S. healthcare system.Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.Technologies we use:

Job DescriptionSalary: $170k - $200k Principal Computational Scientist Alexandria Center, New York Hybrid - At least 3 days a week in the office (at least) Full Time January/February 2026 start $170k - $200k About Ochre Bio Ochre Bio develops RNA therapies for chronic liver disease. Our driving vision is to end the need for liver transplants. Over 1.5 million people, globally, die of chronic liver disease every year. For the vast majority the only cure is a liver transplant. With little more than 40,000 transplants performed, this is a health lottery. Ochre exists to change this. Our science is built on three pillars: • Causal human discovery:The largest global collection of human liver data to uncover new therapeutic targets., • Rigorous human validation:World-leading human models that far outclass traditional animal models., • Better therapeutic translation:Optimised RNA chemistry and biology to bring effective therapies to patients faster. Were ambitious, curious, and supportive, embracing failure as part of innovation and guided by our three operating values: • Clarkes Law:Be bold. Think big., • Murphys Law:Fail fast. Learn faster., • Wheatons Law:Support each other, always. The Role We are looking for a talented and highly motivated Principal Computational Scientist to join us to drive the development of advanced RNA medicines for one of the most pressing healthcare challenges of our time. You will provide strategic and scientific leadership for Ochre Bios advanced statistical modelling efforts, with a focus on Late Validation initiatives from concept through to therapeutic hypothesis. The role is accountable for defining and executing high-impact statistical and computational strategies, influencing cross-functional decision-making, and shaping Ochres statistical modelling roadmap. Based at our New York City site, you will be a key partner to our multi-disciplinary late validation team focussed on leveraging our unique human tissue and whole-organ liver models Key Responsibilities • Define the strategic vision for advanced statistical modelling for Ochres Late Validation Platform, • Lead the design, development, and deployment of innovative statistical frameworks for deep-phenotyping datasets., • Oversee experimental design across multiple programs, ensuring statistical rigor and optimal data acquisition., • Act as a thought leader for integrating multi-modal data into target validation pipelines., • Mentor Senior Scientists and other team members, fostering technical excellence and career growth., • Oversee the development and scaling of cloud-based computational workflows and ensure best practices for reproducibility and version control. Must-haves • PhD in Statistics, Computational Biology, Bioinformatics, or related quantitative discipline, with substantial postdoctoral and/or industry experience., • Proven track record of leading large-scale statistical modelling projects from conception to implementation in biotech/pharma., • Demonstrated enthusiasm to blend strategic drive with hands-on data analysis and execution, • Demonstrated leadership in cross-functional project teams., • Deep expertise in advanced statistical methods (e.g., Bayesian modelling, hierarchical modelling, causal inference) and their application to biological datasets., • Strong coding skills in Python and/or R. Nice-to-haves • Experience leading geographically distributed teams and managing multiple concurrent projects., • Experience building scalable and automated data analysis pipelines (e.g. Nextflow)., • Prior experience with preclinical or clinical trial data analysis., • Experience with project and line management, especially in matrix environments. If youre ready to make an impact in the fight against chronic liver disease, wed love to hear from you Apply now!

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., • 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., • 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. 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 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: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data Work Location: This position is based in our New York 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: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors., • Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain., • Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models., • Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems., • Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment., • Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems., • Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units., • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • Advanced degree in a quantitative or technical field 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 () 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 DescriptionAbout Amigo Amigo builds AI agents for healthcare—systems that handle patient conversations, take clinical actions, and escalate to humans when needed. Our agents operate autonomously within bounded clinical domains. We're building the evaluation and safety infrastructure to validate agent performance at scale—simulation frameworks, outcome correlation, and systematic bias detection. Series A from leading investors. Clinical validation and evidence generation in partnership with leading academic medical institutions. About this role As a Research Scientist at Amigo, you'll lead our research agenda and publication strategy. You'll design studies that validate AI agent performance, develop evaluation frameworks for clinical safety, and publish findings that set a new standard for healthcare AI research. This is a senior role focused on building Amigo's research credibility through rigorous, reproducible work. We have an opportunity to lead the field—most healthcare AI research lacks publicly available datasets and rigorous methodology. You'll change that. What you'll do * Lead research on AI agent evaluation, simulation fidelity, and safety boundary testing * Publish preprints and peer-reviewed papers at top venues * Design studies correlating agent interactions with clinical outcomes * Develop methods for detecting demographic biases in agent responses * Coordinate research collaborations with academic medical institutions * Ensure datasets are publicly available and methodologies are reproducible * Manage IRB processes and peer review submissions * Present findings at conferences and represent Amigo in the research community What we're looking for * PhD in machine learning, statistics, computational healthcare, or related field from a top program * Strong publication record at top-tier venues (NeurIPS, ICML, ICLR, AAAI, CHIL, etc.) * Experience with evaluation frameworks, benchmarking, or AI safety research * Track record of rigorous, reproducible research with public datasets * Ability to translate research findings into production improvements * Excellent written communication—clear, precise scientific writing * Experience coordinating with academic institutions Nice to have * Research experience at leading AI labs (industry or academic) * Publications on AI evaluation, safety, fairness, or healthcare ML * Experience with clinical study design or IRB processes * Background in simulation-based evaluation or synthetic data * Track record of successful academic-industry collaborations Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth * Daily catered lunch and dinner Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Development setup of your choice * Academic collaboration opportunities Compensation Range: $150K - $300K

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for a Senior Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance. Your work will directly impact our member recommendations and provider-facing data products. You will also be a technical leader, raising the bar for how we conduct analysis, build models, and deploy data science code by improving standards and mentoring team members. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Partner with product managers and clinical experts to lead projects shaping how we define and measure provider cost and quality, • Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors, • Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates, • Partner with data engineers to design scalable data pipelines that ingest, clean, and enrich healthcare provider data, • Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions, • Define data science standards and best practices, and mentor team members to raise the technical capabilities of the data science teamWhat you will bring to the team:, • 5+ years professional experience in data science, product analytics, and/or healthcare, • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders, • Strong Python and SQL skills, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, • Experience working in a rapidly evolving startup environment

Clinical Scientist Data Reviewer 6 month contract w/ renewal 3 days onsite in Jersey City, NJ We are seeking a Clinical Scientist Data Reviewer that will support the scientific planning efforts and collaborate with Clinical Research, Pharmacovigilance and Clinical Operations in the execution of one or more clinical trials or significant aspects thereof. In this position, you will have the opportunity to demonstrate technical skills and scientific acumen as part of a cross-functional clinical development team. You will be a key contributor and supporter in the clinical science activities of evidence generation for regulatory approval and/or engagement with physicians, including protocol development, study implementation, data analysis and reporting of results. This role will be focused on the detailed and critical safety data review efforts from study start-up through final CSR. The Clinical Scientist Data Reviewer is a crucial role in analyzing and interpreting clinical trial data to ensure accuracy, integrity, and compliance with regulatory requirements. There is additional room for growth and leadership opportunities in this role. Responsible for supporting specific aspects of clinical/scientific execution of clinical protocol(s). This may include: • Serving as a supportive clinical scientist data reviewer focused on safety, efficacy and critical data deliveries as part of the clinical trial team, • Supporting the clinical study team as part of the clinical sciences functional line which is closely aligned with the medical monitoring team in review and interpretation of clinical data/medical protocol deviations in collaboration with Clinical Research and Pharmacovigilance (as well as other functional areas in this matrix environment), • Collaborating cross-functionally in the development of Protocol and related study materials (e.g., ICF documents / amendments); partnering with Clinical Operations on critical and key study deliverables, • Ensure CRF design supports data collection in alignment with the Protocol in collaboration with Clinical Data Management/Programming, • Collaborating cross-functionally to review clinical data to ensure quality, completeness, and integrity of trial conduct, • Potential to provide tactical/scientific mentorship to other clinical scientists and move into Clinical Scientist lead role as well as focus on scientific growth and development, • Responsible for assisting with the generation, analysis, and presentation of clinical data, including manuscripts, abstracts, and oral presentations (including authoring documents and slide preparation as appropriate), • Apply proficient analytical knowledge and skills to understand how program objectives and design impact data analysis; identifies risks and designs mitigation strategies, • Promotes consistent first line medical/clinical data review techniques and conventions across studies/programs Qualifications • 6+ years of experience with a Post Graduate Degree or 8+ years of experience with a Bachelor’s degree in a relevant scientific discipline., • Experience in clinical drug development experience, or a PhD, Pharm D, or RN degree is preferred., • Experience within oncology preferred, • Solid knowledge of clinical research regulatory requirements (e.g., GCP and ICH), • Ability to manage multiple competing priorities with good planning, time management and prioritization skills, • Strong analytical skills with the ability to interpret clinical trial data and synthesize conclusions, • Proficient scientific expertise to propose, design, and execute clinical research and development studies, and authors documents related to clinical trials, such as medical monitoring plan, SAPs, informed consent and clinical components of the Clinical Study Reports, • Interact with key stakeholders across Clinical Development functional areas, • Role requires proactive approach, strategic thinking and leadership in driving toward clinical study goals, • Influence opinions and decisions of internal and external customers / vendors, across functional areas, • Problem solving, prioritization, conflict resolution and critical thinking skills, • Strong communication, technical writing, and presentation skills experience

Clinical Genomic Scientist (CGS) will report to the Laboratory Directors and will be responsible for clinical analysis and interpretation of Whole Genome Sequencing (WGS) data. Clinical Genomic Scientists will work as a part of a team of highly experienced molecular diagnostic laboratory and informa