Senior Data Scientist, Clinical Research

Function Health is focused on empowering individuals to live healthier lives through innovative technology. They are seeking a Senior Data Scientist with clinical and scientific expertise to lead the development of data structures and analyses that demonstrate the impact of their product on health outcomes.

Responsibilities:

• Design and execute rigorous analyses on member data to understand population-level health trends, quantify health improvements, risk detection, prevention impact, and longitudinal outcomes
• Develop academically structured whitepapers that clearly demonstrate Function Health’s clinical and economic value
• Translate complex analyses into compelling narratives for both scientific and commercial audiences
• Support publication strategies, including potential peer-reviewed journal submissions and academic collaborations
• Develop and apply best-in-class statistical and machine learning models on topics such as: Early disease detection, Risk stratification, Biomarker clustering and phenotyping, Longitudinal health trajectory modeling
• Operationalize data structures, metrics, and dashboards into our Data Platform for self-service analytics usage
• Ensure analyses meet high standards of methodological rigor
• Conduct sensitivity analyses and address confounders, bias, and data quality issues
• Apply deep understanding of physiology, pathology, and clinical guidelines to ensure appropriate interpretation of lab data
• Frame findings in context of established medical literature
• Identify opportunities to validate or challenge current standards of care using Function Health data
• Partner with Marketing and Sales to translate findings into compelling external materials
• Collaborate with clinical, research, and product teams to define population health metrics, outcome criteria, and study methodologies
• Collaborate with academic institutions on joint research initiatives where appropriate

Requirements:

• PhD in a natural science (e.g., biology, biomedical sciences, epidemiology, biostatistics, systems biology, computational biology) or MD with strong quantitative research experience
• 5+ years of experience in data science, clinical research, or applied biomedical analytics
• Demonstrated experience publishing scientific papers or producing publication-quality research reports
• Strong statistical foundation (regression modeling, causal inference, longitudinal analysis, survival analysis, etc.)
• Proficiency in Python or R for advanced data analysis
• Exceptional written and verbal communication skills
• Experience working with large-scale clinical or lab datasets
• Background in preventive medicine, internal medicine, endocrinology, cardiometabolic health, or related fields
• Experience translating research into business or policy impact
• Prior collaboration with academic institutions or health systems
• Familiarity with regulatory considerations (HIPAA, IRB processes)