Senior Data Scientist, Clinical Research

Location: US - Remote, Canada - Remote

Department: Data

Location Type: REMOTE

Employment Type: FULL_TIME

About Us:

Role:

Key Responsibilities:

• Research
  • 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.
• Advanced Data Science & Analytics
  • 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.
• Clinical & Scientific Rigor
  • 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.
• Cross-Functional Collaboration
  • 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.

Qualifications/Skills:

•  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.

Nice-to-Have Skills and Experiences:

• 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).

To be a strong fit, you also need:

• Bias Toward Action: Demonstrated ability to take initiative, make decisions under uncertainty, and move projects forward even in the face of ambiguity. We value individuals who are self-starters and ready to act on opportunities and challenges alike.
• Entrepreneurial Spirit: Strong adaptability to changing business needs with a knack for building and optimizing processes. Your entrepreneurial mindset will be crucial in navigating the dynamic landscape of our industry, ensuring our platform remains competitive and responsive to user needs.
• Communication: Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders. Effective communication is vital for cross-functional collaboration and ensuring alignment across our organization.
• Remote Work Adaptability: Comfort with remote work environments, demonstrating the ability to stay productive and connected with the team irrespective of physical location.
• Continuous Improvement: A willingness to question assumptions and a commitment to continuous improvement. Your openness to feedback and dedication to personal and professional growth will contribute significantly to our collective success.