Lead complex analytic initiatives that evaluate clinical programs and solutions, delivering clear proof of value in cost, quality, and outcomes.
Design and execute rigorous evaluation approaches, including systematic literature review, meta-analysis, matched case-control studies and experimental or quasi-experimental designs.
Develop and apply statistical and predictive models to stratify risk, assess behavior change, and identify improvement opportunities.
Translate large-scale healthcare data into actionable insights and recommendations for business and clinical leaders.
Partner with stakeholders across clinical, operations, product, pharmacy, and behavioral health teams to shape analytic strategy and testing plans.
Communicate results clearly to non-technical audiences, influencing decisions through compelling data storytelling.
Uphold analytic standards, methods, and rigor to ensure results can be confidently used to drive material improvements.

Master’s degree or PhD in biostatistics, epidemiology, health economics, health services research, or a related field
3+ years of experience in healthcare analytics, data science, or outcomes research
Strong foundation in statistical modeling, evaluation research design, and applied analytics
Proficiency in at least one major programming or analytic language such as Python, R, or SQL
Experience working with healthcare data sets, including claims, utilization, and diagnostic codes
Ability to work independently on complex problems while collaborating effectively in a matrixed organization

Senior Data Scientist – Clinical Analytics

Key skills