Remote Senior Health Data Scientist — Causal Analytics

Humana, Inc.; Trenton (NJ); Remote; USD 104,000 - 143,000; Full time

Benefits offered by this job

Bonus incentive plan

Remote work option

Job summary

Humana, Inc. seeks a Senior Research Scientist (Remote) to apply advanced statistical, epidemiologic, and causal inference methods to large healthcare datasets and inform clinical program decisions.

You will design outcomes studies, translate findings into actionable recommendations for clinical and business partners, and communicate complex analyses to non-technical audiences while upholding rigor and reproducibility.

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

Communicating insights

Education

Master’s or PhD in Epidemiology, Biostatistics, Economics, Statistics, Health Services Research, Clinical Informatics, or related quantitative discipline

Tools

Python

PySpark

R

SAS

Databricks

Azure

Job description

Humana, Inc. seeks a Senior Research Scientist (Remote) to apply advanced statistical, epidemiologic, and causal inference methods to large healthcare datasets and inform clinical program decisions.

You will design outcomes studies, translate findings into actionable recommendations for clinical and business partners, and communicate complex analyses to non-technical audiences while upholding rigor and reproducibility.