Cigna Healthcare is dedicated to improving health and vitality, and they are seeking a Senior Data Scientist to lead health services research that shapes clinical programs and informs strategy. This role involves translating complex healthcare data into actionable insights that influence real-world decisions and drive improvements in cost, quality, and outcomes.
Responsibilities:
- 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
Requirements:
- 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
- Clear communication skills and comfort influencing stakeholders at multiple levels
- Recent experience with program evaluation, outcomes research, or health services research methods
- Background presenting findings through publications, presentations, or internal thought leadership
- Growth mindset, curiosity, and enthusiasm for continuous improvement in how analytics drives impact