We’re a global health service company dedicated to helping people improve their health, well-being and sense of security. We offer an integrated suite of health services, such as medical, dental, behavioral health, pharmacy, vision, supplemental benefits, and other related products that serve over 95 million customers around the world.

Cigna Global Data & Analytics has an opportunity for a Senior Data Scientist specializing in Behavioral Health.

Role Summary:

• The chosen candidate will have the requisite content knowledge related to evaluating behavioral health outcomes, conducting randomized control trials, utilizing statistical modeling techniques (e.g. multivariate regression, propensity score matching, coarsened exact matching), and employing health service research techniques.
• You will interface across multiple business areas, including, but not limited to clinical, pricing, reporting, product development, operations, and marketing departments as needed.
• The ideal candidate for this role will be highly motivated, flexible and embrace change.

Responsibilities:

• Extract and analyze large healthcare claims using SAS, SQL, R, Python, Teradata, Hadoop, etc.
• Identify, analyze and interpret trends or patterns in data sets through descriptive and multivariate statistics
• Conduct matched case-control studies and/or randomized control trials for determining the effectiveness of health program services and solutions
• Develop statistical models and methods (including but not limited to regression) that identify and stratify individuals in terms of health risk and/or behavior change
• Develop actionable insights and recommendations for business leaders
• Present results and recommendations to non-technical business partners and stakeholders to drive the decision-making process

Qualifications:

• Advanced degree in Statistics, Mathematics, Data Science, Biostatistics, or Epidemiology and/or 2-5 years of related data science work experience in healthcare
• Previous experience conducting program evaluation/outcomes research methods, predictive modeling and data mining is required
• Experience with statistical software program SAS/SAS EG, R and/or Python is required
• Statistics experience in:propensity score matching, coarsened exact matching, multivariate regression, etc
• Comprehension of healthcare data (e.g., ICD-10, claims) and demonstrated understanding of health care and delivery system processes
• Leadership competencies including the ability to collaborate with others and establish working relationships, communicate effectively across the organization and at different levels, think and act strategically, and influence key leaders with a Strong customer focus and management of stakeholder expectations
• Ability to successfully navigate and contribute in a highly-matrixed environment

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