Humana is looking for a Research Scientist to help improve health outcomes by analyzing complex data, designing studies, and developing strategies that lead to better clinical decisions for their members.
Requirements
- Proficiency in SQL, Python, and SAS for data manipulation and analysis.
- Strong background in research design, hypothesis testing, and statistical modeling.
- Experience working with healthcare data (claims, EMR, clinical registries, etc.) is a plus.
- 5 or more years technical experience
- Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
- Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting
- Experience in creating reports, projections, models, and presentations to support business strategy and tactics
Responsibilities
- Design and conduct rigorous research studies to evaluate clinical interventions and health outcomes.
- Develop hypotheses and perform statistical testing using large-scale healthcare datasets.
- Build and maintain analytical models using Python, SQL, and SAS.
- Translate complex findings into clear, actionable insights for clinical and operational stakeholders.
- Stay current with emerging trends in healthcare research, data science, and population health.
- Contribute to publications, presentations, and internal knowledge sharing.
- Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
Other
- Must have the ability to provide a high-speed DSL or cable modem for a home office.
- A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
- Satellite and Wireless Internet service is NOT allowed for this role.
- A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
- Must be passionate about contributing to an organization focused on continuously improving consumer experiences
