Clinical Data Specialist

Function Health
United States, Canada
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: mastersSkills: ["Analytical rigor","Interpretability","Communication","Cross-functional collaboration"]

Own statistical analysis plans that validate machine learning models and clinical insights, defining cohorts, endpoints, metrics, and subgroup analyses. Execute rigorous evaluations including calibration, uncertainty quantification, sensitivity testing, and bias/fairness analyses across demographics and clinical characteristics. Collaborate with ML scientists on validation strategies (cross-validation, temporal/external validation, robustness) and apply advanced methods like regression, survival analysis, and mixed-effects models. Translate findings for clinicians, product leaders, and engineers with clear documentation for auditability and regulatory readiness.

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FursaFursa
Function Health
Function Health
1 week ago

Clinical Data Specialist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Own statistical analysis plans that validate machine learning models and clinical insights, defining cohorts, endpoints, metrics, and subgroup analyses. Execute rigorous evaluations including calibration, uncertainty quantification, sensitivity testing, and bias/fairness analyses across demographics and clinical characteristics. Collaborate with ML scientists on validation strategies (cross-validation, temporal/external validation, robustness) and apply advanced methods like regression, survival analysis, and mixed-effects models. Translate findings for clinicians, product leaders, and engineers with clear documentation for auditability and regulatory readiness.
Location: United States, Canada
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and own statistical analysis plans (SAPs) to validate machine learning models, including cohorts, endpoints, metrics, and subgroup analyses.
  • •Develop and execute statistical evaluations of ML models, including performance assessment, calibration analysis, uncertainty quantification, and sensitivity analyses.
  • •Lead subgroup, bias, and fairness analyses across demographics, clinical characteristics, and longitudinal trajectories.
  • •Partner with ML scientists to define validation strategies such as cross-validation, temporal validation, external validation, and robustness testing.
  • •Apply classical and modern statistical methods (e.g., regression, survival analysis, mixed-effects models) and document assumptions, limitations, and results for auditability and regulatory readiness.

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 (NumPy, pandas, SciPy, statsmodels) and experience working with ML workflows.
  • •Experience designing and executing statistical analysis plans (SAPs) for complex datasets.
  • •Familiarity with longitudinal and real-world data, including missingness, censoring, and time-dependent effects.
Experience:3+ yearsBiostatisticsEpidemiologyLongitudinal dataMachine learningRegulated healthcare
Education:Master's
Skills:Analytical rigorInterpretabilityCommunicationCross-functional collaboration
Tech Stack:PythonNumPyPandasSciPyStatsmodels

Company Brief

Function Health
Function Health develops digital health solutions to support chronic disease management, delivering personalized care pathways, remote monitoring, and patient engagement tools to improve outcomes and reduce healthcare costs for people with long-term conditions.
Industry: HealthTech
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