Sr. Data Scientist - Clinical Analytics - Remote

Cigna Healthcare•Raleigh, CT

1d•$98,200 - $163,600•Remote

About The Position

The Clinical Analytics team is expanding how data analytics improves health care—making it more personalized, transparent, and affordable. As a Senior Data Scientist, you will lead health services research that shape clinical programs, inform strategy, and demonstrate measurable value for customers and patients. This role is ideal for an experienced analytics professional who enjoys translating complex healthcare data into clear insights that influence real-world decisions.

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.

Nice To Haves

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.

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.