Remote Research Scientist - Healthcare Analytics & Outcomes

Humana, Inc.; Juneau (AK); Remote; USD 78,000 - 108,000; Full time

Job summary

Humana, Inc. seeks a Research Scientist 2 to apply advanced statistical and epidemiologic methods to evaluate clinical programs and support decision-making across clinical, operational, and business domains.

The role emphasizes rigorous study design, data-driven insights, and cross-functional collaboration in a remote setting. You will design outcomes studies, perform deep-dive analyses of claims and operational data, and translate findings into actionable recommendations for stakeholders while

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.

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

Epidemiology

Biostatistics

Econometrics

Statistics

Health Services Research

Education

Master’s or PhD in Epidemiology/Biostatistics/related quantitative field

Tools

Python

PySpark

R

SAS

Job description

Humana, Inc. seeks a Research Scientist 2 to apply advanced statistical and epidemiologic methods to evaluate clinical programs and support decision-making across clinical, operational, and business domains.

The role emphasizes rigorous study design, data-driven insights, and cross-functional collaboration in a remote setting. You will design outcomes studies, perform deep-dive analyses of claims and operational data, and translate findings into actionable recommendations for stakeholders while