Remote Research Scientist II: Healthcare Analytics & Outcomes

Humana, Inc.; Denver (CO); Remote; USD 78,000 - 108,000; Full time

Job summary

Humana, Inc. is seeking a Research Scientist 2 to apply statistical, epidemiologic, and analytical methods to healthcare data to evaluate program performance and support clinical decisions.

This remote role sits within the Quality & Cost Strategy Analytics team, driving outcomes studies and translating findings into actionable recommendations for clinical, operational, and business partners. The candidate will work with claims, enrollment, and operational data, collaborating with

Qualifications

• Master’s degree or PhD in Epidemiology, Biostatistics, Economics, Statistics, Health Services Research, Clinical Informatics, or a related quantitative discipline.
• 2+ years of experience applying statistical, epidemiologic, econometric, or related quantitative methods to large, complex datasets.
• Strong foundation in causal inference and study design, including observational studies, comparative effectiveness research, and randomized controlled trials.
• Experience manipulating and analyzing data using Python, PySpark, R, SAS, or comparable analytical tools.
• Strong analytical thinking and structured problem-solving skills, with the ability to translate clinical and business questions into analytical approaches.
• Ability to select and apply appropriate analytical methodologies to moderately complex research and business questions, with guidance on more complex methodological challenges.
• Excellent written and verbal communication skills, including the ability to synthesize complex methodologies and findings into clear insights and recommendations for non-technical audiences.
• Strong attention to detail and organizational skills, with the ability to manage multiple priorities effectively.
• Demonstrated ability to work independently while collaborating effectively with multidisciplinary and cross-functional teams.
• Strong interest in healthcare and a passion for improving health outcomes and healthcare value.

Responsibilities

• Design and execute outcomes studies to evaluate the clinical, utilization, and financial performance of clinical programs using observational and experimental methods.
• Apply causal inference, epidemiologic, and statistical methods to estimate program impact and generate credible evidence for decision-making.
• Conduct deep-dive analyses using medical and pharmacy claims, enrollment, and operational data to identify key performance drivers, diagnose performance gaps, and uncover opportunities for improvement.
• Translate clinical and business questions into clearly defined analytical questions and hypotheses, partnering with senior scientists as needed on more complex study designs and methodologies.
• Partner with clinical, operational, financial, and business stakeholders to translate analytical insights into recommendations that inform clinical strategy, program design, contracting, and performance improvement.
• Develop high-quality analytical reports, presentations, and executive-level readouts for internal and external stakeholders.
• Translate complex methodologies and findings into clear, actionable business insights, communicating both implications and analytical limitations to technical and non-technical audiences.
• Independently determine appropriate analytical approaches and make sound methodological decisions in complex or ambiguous situations.
• Manage multiple analytical priorities while maintaining high standards for methodological rigor, accuracy, and reproducibility.

Skills

Statistical methods

Epidemiology

Data analysis

Python

R

PySpark

SAS

Communication

Education

Master’s degree or PhD in a quantitative field

Tools

Python

PySpark

R

SAS

Job description

Humana, Inc. is seeking a Research Scientist 2 to apply statistical, epidemiologic, and analytical methods to healthcare data to evaluate program performance and support clinical decisions.

This remote role sits within the Quality & Cost Strategy Analytics team, driving outcomes studies and translating findings into actionable recommendations for clinical, operational, and business partners. The candidate will work with claims, enrollment, and operational data, collaborating with