Research Scientist 2

Humana

Research Scientist 2 utilizing statistical and epidemiologic principles for healthcare analytics at Humana. Collaborating with clinicians to apply data-driven insights for improving clinical strategies.

Posted 6/5/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $78,400 - $107,800 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Do exploratory analysis on populations, trends, and clinical conditions to inform potential opportunities for trend savings and clinical outcomes improvement for our members.
Collaborate with clinicians and clinical informaticists to define various clinical concepts and extract clinical information from medical, pharmacy, and lab claims for analytics and modeling purposes
Leverage a wide range of analytics methods from descriptive analysis to epidemiological methods
Design outcomes studies and perform program evaluation using randomized controlled trials, propensity matching, difference-in-difference models, or other experimental/quasi-experimental methods.
Conduct literature reviews and intervention research to assess engagement rates and treatment effect sizes of interventions that are in the early stages of design and implementation.
Write code in SQL, SAS, and Python to assemble data, create analytic variables/features, design visuals and charts, and statistical models for research/science use-cases.
Translate analytic results into key takeaways with actionable insights and communicate to business partners
Understand department, segment, and organizational strategy and operating objectives, including their linkages to related areas
Make decisions regarding research methods, occasionally in ambiguous situations with general guidance

Requirements

What you’ll need

Master's Degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Engineering, and/or related fields
2+ years of experience that includes:
Skills to create datasets and analytical variables from large and complex data environments by writing code in SQL, SAS, and Python.
Applying research methods to transform high volumes of complex data into actionable insights.
Experience with experimental and quasi-experimental methods such as randomized controlled trials, propensity matching, or difference-in-difference models.
Strong interest in healthcare and desire to make a positive impact on health outcomes.
Ability to work collaboratively within a multi-disciplinary team, to deliver quality analytical work, and communicate results and insights clearly to business partners.

Benefits

Comp & perks

medical
dental and vision benefits
401(k) retirement savings plan
time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
short-term and long-term disability
life insurance and many other opportunities

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLSASPythondescriptive analysisepidemiological methodsrandomized controlled trialspropensity matchingdifference-in-difference modelsdata assemblystatistical modeling

Soft Skills

collaborationcommunicationdecision makinganalytical thinkingproblem solvinginterpersonal skillsteamworkadaptabilityattention to detailstrategic thinking

Certifications

Master's Degree