Research Scientist, Clinical Innovation & Trend Analytics

humana; United States; Remote; USD 78,000 - 108,000; Full time

Benefits offered by this job

Remote work

Health insurance

Dental coverage

Vision coverage

Retirement savings

Paid time off

Holidays

Parental leave

Caregiver leave

Disability coverage

Life insurance

Job summary

Humana is seeking a data-driven healthcare analyst to use statistical and epidemiological research to identify Medicare Advantage trends, opportunities to improve outcomes, and methods to manage costs. You will collaborate with clinicians, informaticists, and strategy partners to translate findings into practical recommendations.

You will build datasets with SQL, SAS, and Python; design outcomes studies including randomized trials and quasi-experimental designs; and communicate actionable

Qualifications

• Master’s degree in a quantitative field such as epidemiology, biostatistics, economics, statistics, clinical informatics, or engineering.
• At least two years of relevant experience using SQL, SAS, and Python to create analytical datasets and variables from complex data.
• Experience applying research methods to large datasets and using experimental or quasi-experimental study designs.
• Ability to collaborate across disciplines and explain analytical results clearly to non-specialist partners.

Responsibilities

• Explore population, condition, and utilization trends to identify potential opportunities for better clinical outcomes and lower costs.
• Work with clinical partners to define concepts and extract relevant information from medical, pharmacy, and laboratory claims.
• Build datasets and analytic features from large, complex sources using SQL, SAS, and Python.
• Design and evaluate outcomes studies, including randomized trials and quasi-experimental analyses such as propensity matching or difference-in-differences.
• Review research and assess potential intervention engagement and effects for programs in early design or implementation.
• Communicate findings through clear takeaways, visualizations, and recommendations for business partners.

Skills

Data analysis

Statistical methods

Cross-disciplinary collaboration

Experiment design

Communication of results

Education

Master’s degree in quantitative field

Tools

SQL

SAS

Python

PySpark

Databricks

Azure

Power BI

Job description

Role overview

Use statistical and epidemiological research to identify healthcare trends and assess opportunities to improve outcomes and manage costs for Medicare Advantage populations. You’ll work with clinicians, informaticists, and strategy partners, applying independent judgment to complex analyses and translating findings into practical recommendations.

Responsibilities

• Explore population, condition, and utilization trends to identify potential opportunities for better clinical outcomes and lower costs.
• Work with clinical partners to define concepts and extract relevant information from medical, pharmacy, and laboratory claims.
• Build datasets and analytic features from large, complex sources using SQL, SAS, and Python.
• Design and evaluate outcomes studies, including randomized trials and quasi-experimental analyses such as propensity matching or difference-in-differences.
• Review research and assess potential intervention engagement and effects for programs in early design or implementation.
• Communicate findings through clear takeaways, visualizations, and recommendations for business partners.

Requirements

• Master’s degree in a quantitative field such as epidemiology, biostatistics, economics, statistics, clinical informatics, or engineering.
• At least two years of relevant experience using SQL, SAS, and Python to create analytical datasets and variables from complex data.
• Experience applying research methods to large datasets and using experimental or quasi-experimental study designs.
• Ability to collaborate across disciplines and explain analytical results clearly to non-specialist partners.

Nice to have

• Healthcare or managed care experience, including familiarity with medical, pharmacy, or laboratory claims.
• Knowledge of clinical conditions, hypothesis testing, statistical methods, or comparative effectiveness research.
• Experience with PySpark, Databricks, Azure, or Power BI, and an interest in improving health outcomes.

Benefits and work setup

• Remote, full-time work (40 hours per week); occasional travel to an office for training or meetings may be required.
• A dedicated workspace is required to protect sensitive health information. Home internet must provide at least 25 Mbps download and 10 Mbps upload.
• Visa sponsorship is not available.
• The stated annual base pay range is $78,400–$107,800, with possible bonus eligibility. Benefits include health, dental, and vision coverage, retirement savings, paid time off and holidays, parental and caregiver leave, disability coverage, and life insurance.