Clinical Data Specialist

Clinical Data Specialist

Function Health is the AI operating system for health, designed to empower people to live 100 healthy years. We are redefining how individuals understand, measure, and improve their health by moving beyond the limitations of traditional care and enabling comprehensive, continuous insight into human biology. Function gives members a complete and continuous view of their health — and the clarity to act on it. Function fosters a collaborative and dynamic environment where every day we build the future.

As a Clinical Data Specialist, you will be responsible for the statistical design, validation, and analytical rigor underpinning Function Health's machine learning models and clinical insights. You will work closely with the Engineering, Data, and Clinical teams to ensure that models are evaluated with appropriate statistical methods, validated across relevant populations, and supported by transparent, defensible analysis suitable for healthcare and regulated environments. Your work will focus on defining statistical analysis plans, assessing model performance and reliability, and translating complex results into clinically meaningful evidence.

As a Clinical Data Specialist, you will:

• Design and own statistical analysis plans (SAPs) to validate machine learning models, including definitions of cohorts, endpoints, metrics, and subgroup analyses.
• Develop and execute rigorous statistical evaluations of ML models, including performance assessment, calibration analysis, uncertainty quantification, and sensitivity analyses.
• Lead subgroup, bias, and fairness analyses to understand model behavior across demographics, clinical characteristics, and longitudinal trajectories.
• Partner with ML scientists to define appropriate validation strategies, including cross-validation, temporal validation, external validation, and robustness testing.
• Apply classical and modern statistical methods (e.g., regression, survival analysis, mixed-effects models) to contextualize and validate model outputs.
• Analyze longitudinal health data to assess change over time, progression patterns, and stability of model predictions in the presence of missingness and real-world noise.
• Conduct literature review and methodological research to ensure analyses align with clinical standards and best practices in biostatistics and epidemiology.
• Document analytical assumptions, limitations, and results clearly to support auditability, interpretability, and regulatory readiness.
• Communicate findings and statistical rationale to clinicians, product leaders, and engineers, translating technical results into clear clinical insights.

You care deeply about correctness, rigor, and interpretability, especially when data and models may influence real health decisions. You are comfortable working alongside engineering teams while maintaining an independent statistical perspective focused on validation and evidence. You enjoy working in cross-functional environments and can clearly explain statistical concepts, uncertainty, and limitations to both technical and non-technical audiences.

Key requirements:

• 3+ years of experience in biostatistics, applied statistics, epidemiology, or a related quantitative role.
• Strong foundation in statistical inference, experimental design, and model validation.
• Proficiency in Python and statistical libraries (e.g., NumPy, pandas, SciPy, statsmodels); experience working alongside ML workflows.
• Experience designing and executing statistical analysis plans for complex datasets.
• Familiarity with longitudinal and real-world data, including missingness, censoring, and time-dependent effects.
• Strong skills in interpreting results, assessing uncertainty, and communicating limitations.
• Ability to collaborate effectively with machine learning, engineering, and clinical teams.

Why You'll Love Working With Us:

We value our team and offer a competitive salary and benefits package, flexible working hours, and a dynamic work environment where creativity and innovation are encouraged. If you are a highly motivated and experienced individual who is passionate about using technology to improve people's lives, we would love to hear from you. We celebrate diversity and are committed to building an inclusive and equitable workforce. We are proud to be an equal opportunity employer and do not discriminate based on race, color, religion, sex (including gender identity and sexual orientation), national origin, age, disability, veteran status, marital status, ancestry, or any other characteristic protected by applicable law. Join our team and become a part of our mission to revolutionize healthcare. Work with us to make a difference in the lives of thousands, ensuring a healthier future for all.

Important Notice: Legitimate communication from the Function Health team will always come from an email address ending in @functionhealth.com. Function Health will never request personal information such as banking details or payment during the hiring process. Please be cautious of communications or job offers that come from other email domains, instant messaging platforms, or unsolicited calls. If you ever have doubts about the legitimacy of a communication, please reach out to us directly at View email address on click.appcast.io.