Designs statistical analysis plans and validates machine learning models using rigorous performance, calibration, uncertainty, subgroup, fairness, and longitudinal analyses. Applies biostatistical methods to healthcare data, documents assumptions and limitations for auditability and regulatory readiness, and translates complex findings into clinically meaningful insights. Collaborates with engineering, machine learning, data, clinical, and product teams.
Company Overview
Your Mission
What you’ll do
Who you are
Key requirements
Nice to have
Why You'll Love Working With Us:
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 has been recognized as one of Fast Company’s Most Innovative Companies of 2024, and is venture-backed by Redpoint and other leading venture firms. Over half a million members have joined Function to take control of their health.
Through comprehensive lab testing, MRI and CT imaging, longitudinal data, and guidance from AI and clinical teams, Function gives members a complete and continuous view of their health — and the clarity to act on it. Through acquisitions across imaging, mobile phlebotomy, and supplement tracking and optimization, Function is building an integrated health platform that spans the full path from testing to health clarity to daily action.
Function recently announced a $298M Series B and is entering its next chapter of growth. As we scale, the quality and durability of our People systems, data, and insights will directly shape our ability to attract, retain, and support exceptional talent.
We are growing our team and seeking out world-class talent that deeply believes in our mission to positively impact global health, has a relentless bias toward action, and a growth mindset. Function fosters a collaborative and dynamic environment where every day we build the future.
Your Mission
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.
Who you are
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.
- 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.
- Experience validating or supporting machine learning models in healthcare or other regulated domains.
- Background in survival analysis, causal inference, or longitudinal modeling techniques.
- Familiarity with model evaluation concepts such as calibration, discrimination, and decision-curve analysis.
- Exposure to fairness, bias assessment, and subgroup performance analysis.
- Experience working with PHI-sensitive data and compliance-driven environments.
- Advanced degree (MS or PhD) in biostatistics, statistics, epidemiology, public health, or a related field.
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. Discover more about us and how we're changing the face of healthcare at Function Health.
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 [email protected].
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What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
