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Sr. Data Scientist - Clinical Analytics - Remote

The Cigna Group

Hybrid Full-time Senior $113k – $188k/yr 1w ago

About the role

About

The job profile for this position is Business Analytics Senior Advisor, which is a Band 4 Senior Contributor Career Track Role.

Excited to grow your career?

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!

Our people make all the difference in our success.

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.

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.

Qualifications

Required

  • 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.

Preferred

  • 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.

Compensation & Benefits

  • Anticipated annual salary: $112,800 – $188,000 USD (depending on relevant factors, including experience and geographic location).
  • Eligible to participate in an annual bonus plan.
  • Comprehensive benefits package focusing on whole health, including medical, vision, dental, well‑being and behavioral health programs starting on day one.
  • 401(k), company‑paid life insurance, tuition reimbursement.
  • Minimum of 18 days of paid time off per year and paid holidays.

Work‑From‑Home Requirements

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10 Mbps download / 5 Mbps upload.

Equal Employment Opportunity

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws. Please note that you must meet our posting guidelines to be eligible for consideration. Policy can be reviewed at this link.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

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.

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.

Benefits

medicalvisiondentalwell-being and behavioral health programs401(k)company paid life insurancetuition reimbursementpaid time offpaid holidays

Skills

PythonRSQL

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