[Hiring] Senior Research Scientist @Humana

Role Description

The Senior Research Scientist supports Humana’s efforts to improve Health Outcomes Survey, or HOS, performance through applied research and quantitative analysis. This role develops evidence on the drivers of HOS outcomes, identifies potential leading indicators, translates behavioral and survey science into practical insights, and provides rapid analytical support for high-impact business questions.

The Senior Research Scientist works across HOS Operations and Stars Analytics to inform intervention strategy, portfolio development, and the use of predictive models for member outreach. Assignments involve moderately complex to complex issues requiring sound research judgment, analytical rigor, and the ability to translate findings into clear recommendations.

The Senior Research Scientist will serve as a research and analytical thought partner to HOS Operations, Stars Analytics, and other stakeholders working to improve HOS outcomes. This individual will establish and continually strengthen the evidence base surrounding the drivers of HOS performance.

The role will include:

• Developing an inventory of potential HOS leading indicators.
• Evaluating relevant enterprise data sources.
• Monitoring emerging behavioral and survey science.
• Conducting rapid analyses in response to high-impact business questions.

The Senior Research Scientist will independently lead less complex research and analytical projects from initial problem framing through recommendation. For more complex efforts, the individual will lead substantial components of the work in partnership with the Director and other members of the CAHPS & HOS Analytics team.

This role requires someone who can:

• Bring structure to ambiguous questions.
• Select appropriate analytical approaches.
• Assess the strength and limitations of available evidence.
• Communicate practical implications to technical and nontechnical audiences.

Qualifications

• Bachelor’s degree in a quantitative, behavioral science, social science, or related field and 5 years of relevant analytical or applied research experience; OR Master’s or Doctoral degree in a related field and 3 or more years of relevant experience.
• Experience with data manipulation, exploratory analysis, interpretation, and visualization.
• Proficiency with at least one analytical or statistical programming language, such as Python, R, SAS, or SQL.
• Strong written and verbal communication skills, including translating technical findings for nontechnical audiences.
• Passion for contributing to an organization focused on continuously improving consumer experiences.

Requirements

• Experience with behavioral science, survey methodology, psychometrics, or member-reported outcomes.
• Experience with healthcare data, Medicare Advantage, Stars, HOS, CAHPS, patient experience, or quality improvement.
• Experience conducting literature reviews, evidence syntheses, or competitive intelligence.
• Experience applying research insights to intervention design or consumer outreach.
• Experience interpreting predictive models and translating outputs into operational strategies.
• Familiarity with large, complex data environments and visualization tools such as Databricks or Power BI.

Benefits

• Medical, dental and vision benefits.
• 401(k) retirement savings plan.
• Time off (including paid time off, company and personal holidays, paid parental and caregiver leave).
• Short-term and long-term disability.
• Life insurance.
• Many other opportunities for personal wellness and smart healthcare decisions.

Company Description

Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it.

These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large.