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Senior Data Science Advisor
The Cigna Group. Lead complex analytics projects focused on pharmacy, clinical conditions, health outcomes, and total cost of care strategies .
Posted 9/15/2026full-timeRemote • Connecticut • United StatesSenior💰 $131,200 - $218,600 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in healthcare analytics, including advanced proficiency in SQL and experience with analytics tools such as Databricks, Python, and R. Capable of leading complex analytical projects, mentoring junior analysts, and effectively communicating findings to diverse stakeholders.
Highest-signal resume keywords
Healthcare AnalyticsAdvanced SQL ProficiencyData ScienceComplex Analytical Project LeadershipMentoring Analysts
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Healthcare Claims Data AnalysisProgram EvaluationOutcomes ResearchCausal Inference MethodsStudy DesignStatistical AnalysisData VisualizationAnalytical Framework Development
Soft Skills
Strong Communication SkillsPresentation SkillsStakeholder Management
Tools & Technologies
DatabricksPythonR
Industry Keywords
Pharmacy AnalyticsClinical Outcomes ResearchHealth OutcomesTotal Cost of Care Strategies
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead complex analytics projects focused on pharmacy, clinical conditions, health outcomes, and total cost of care strategies
- Design and execute program evaluations, outcomes research studies, opportunity analyses, matched case-control studies, and other advanced analytical approaches
- Analyze large healthcare claims datasets to identify trends, opportunities, and actionable insights
- Partner with clinical, product, finance, and business stakeholders to define objectives, methodologies, and strategic recommendations
- Present analytical findings and recommendations to technical and non-technical audiences, including senior leadership
- Lead multiple projects simultaneously while managing scope, timelines, deliverables, and stakeholder expectations
- Mentor junior analysts and data scientists through technical guidance and work-product reviews
- Identify opportunities to automate reporting, improve analytical efficiency, and develop scalable analytics frameworks and solutions
Requirements
What you’ll need- 5+ years of experience in healthcare analytics, clinical outcomes research, pharmacy analytics, data science, or a related field
- Strong experience working with healthcare claims data, including medical and pharmacy claims
- Advanced proficiency in SQL
- Experience with analytics tools such as Databricks, Python, R, or similar technologies
- Demonstrated experience leading complex analytical projects and influencing stakeholders across a matrixed organization
- Experience with study design, program evaluation, causal inference methods, and/or health outcomes research
- Strong communication and presentation skills with the ability to explain technical concepts to non-technical audiences
- Experience mentoring analysts and contributing to technical best practices preferred
- Bachelor's degree in Statistics, Data Science, Epidemiology, Economics, Public Health, Mathematics, or a related quantitative field required; advanced degree preferred
- If working at home occasionally or permanently, cable broadband or fiber optic internet service with at least 10 Mbps download/5 Mbps upload is required
- Qualified applicants must meet applicable work authorization and employment eligibility requirements
Benefits
Comp & perks- Annual bonus plan eligibility
- Medical, vision, and dental benefits starting day one
- Well-being and behavioral health programs
- 401(k)
- Company-paid life insurance
- Tuition reimbursement
- Minimum of 18 days of paid time off per year
- Paid holidays
- Leaves of absence
- Remote work arrangement