Remote Senior Research Scientist - Healthcare Analytics

Humana, Inc.; Austin (TX); Remote; USD 104,000 - 143,000; Full time

Job summary

Humana, Inc. is seeking a Senior Research Scientist (Remote) to apply statistical, epidemiologic, and causal inference methods to large healthcare datasets, evaluating clinical program performance and informing strategic decisions.

The role reports to the Quality & Cost Strategy Analytics team and involves designing outcomes studies, deep-dive analyses, and translating findings into actionable recommendations for clinical, operational, and business partners. Travel may be required.

Qualifications

• Master’s degree or PhD in Epidemiology, Biostatistics, Economics, Statistics, Health Services Research, Clinical Informatics, or a related quantitative discipline.
• 3+ 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.
• 3+ years of experience manipulating and analyzing large datasets using Python, PySpark, R, SAS, or comparable analytical tools.
• Strong analytical thinking and structured problem-solving skills, with demonstrated ability to translate ambiguous business or clinical problems into rigorous analytical approaches.
• Ability to select and apply appropriate analytical methodologies to moderately complex to complex research and business questions.
• Excellent written and verbal communication skills, including the ability to synthesize complex methodologies and results into clear business insights and recommendations for non-technical audiences.
• Strong attention to detail, organizational skills, and ability to manage multiple priorities effectively.
• Demonstrated ability to work independently with minimal guidance while collaborating effectively across multidisciplinary and cross-functional teams.
• Strong interest in healthcare and a passion for improving health outcomes and healthcare value.

Responsibilities

• Design and execute rigorous 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 broad or ambiguous clinical and business questions into well-defined analytical questions, hypotheses, and study designs.
• 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.
• Understand broader department, segment, and enterprise strategies and connect analytical work to key operating and strategic objectives.

Skills

Statistical methods

Epidemiology

Causal inference

Data analysis

Python

PySpark

R

SAS

Communications

Problem solving

Independent work

Education

Master’s degree or PhD in Epidemiology/Biostatistics/Statistics

Tools

Python

PySpark

R

SAS

Databricks

Microsoft Azure

Job description

Humana, Inc. is seeking a Senior Research Scientist (Remote) to apply statistical, epidemiologic, and causal inference methods to large healthcare datasets, evaluating clinical program performance and informing strategic decisions.

The role reports to the Quality & Cost Strategy Analytics team and involves designing outcomes studies, deep-dive analyses, and translating findings into actionable recommendations for clinical, operational, and business partners. Travel may be required.