This role pays less than
59%
of similar roles. Most pay
$159,000–$226,800
— the shaded band above.
At the midpoint, this role pays about
$175k
versus about
$193k
for comparable roles.
Based on 240 similar postings.
Employer
About Cigna
The Cigna Group is a global health company, rebranded in 2023, that serves over 185 million customer relationships across 30+ countries.
Cigna currently has
61 open roles
on FindRole.
Listed pay typically runs
$147,853–$205,800
across 28 roles with salary data.
The Data Science Senior Advisor will lead complex analytics initiatives within the Pharmacy and Clinical Outcomes Research team. This role involves partnering with clinical, pharmacy, and business stakeholders to evaluate programs, identify opportunities, and generate actionable insights regarding affordability, health outcomes, and total cost of care. The individual will design and execute program evaluations, outcome research studies, and matched case-control studies while analyzing large healthcare claims datasets to inform strategic decision-making. Key responsibilities include mentoring junior staff, automating reporting, and developing scalable analytic frameworks. Required technical skills include advanced proficiency in SQL and experience with tools such as Databricks, Python, or R. The role requires expertise in study design, causal inference methods, and translating complex healthcare data into business recommendations to solve problems related to pharmacy analytics and clinical condition management.
Lead complex analytics projects focused on pharmacy, clinical conditions, health outcomes, and total cost of care strategies.
Design and execute program evaluations, outcome research studies, and advanced analytical approaches like matched case-control studies.
Analyze large healthcare claims datasets to identify trends and actionable insights for business and clinical decision-making.
Translate complex technical findings into strategic recommendations for both technical and non-technical senior leadership audiences.
Manage multiple projects simultaneously while overseeing scope, timelines, deliverables, and stakeholder expectations.
Mentor junior analysts by providing technical guidance and reviewing work products to ensure best practices.
Identify opportunities to automate reporting and develop scalable analytical frameworks to improve efficiency.
What we're looking for
5+ years of experience in healthcare analytics, clinical outcomes research, pharmacy analytics, data science, or a related field.
Experience working with medical and pharmacy claims data to provide business-focused recommendations.
Advanced proficiency in SQL and experience with 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 skills 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.
Machine Learning
Python
R
SQL
Statistical Analysis
Data Pipelines
Feature Engineering
Experimentation
Causal Inference
Model Monitoring
Responsible AI
Advanced Analytics
Data Quality
Python
Microsoft Studio
Agent Builder
Azure
AI Governance
Machine Learning
Data Science
Data Mining
Data Analytics
Modeling
Query and Database Access Tools
Structured Data
Unstructured Data
Risk Management
Testing Frameworks