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Data Science Senior Advisor
The Cigna Group
USA
Full-time
Senior
Onsite
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Responsibilities
- Lead complex analytics projects focused on pharmacy, clinical condition, 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 that support business and clinical decision-making.
- Partner with clinical, product, finance, and business stakeholders to define project objectives, methodologies, and strategic recommendations.
- Present analytical findings and recommendations to both technical and non-technical audiences, including senior leadership.
- Lead multiple projects simultaneously, managing scope, timelines, deliverables, and stakeholder expectations.
- Mentor junior analysts and data scientists by providing technical guidance, reviewing work products, and promoting analytics best practices.
- Identify opportunities to automate reporting, improve analytical efficiency, and develop scalable analytic frameworks and solutions.
Qualifications
- 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, and translating analyses into business-focused recommendations.
- Advanced proficiency in SQL and 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.
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