Senior Health Analytics Scientist (Remote)

Humana, Inc.; Lansing (MI); Remote; USD 104,000 - 143,000; Full time

Benefits offered by this job

Medical, dental and vision benefits

401(k) retirement savings plan

Paid time off and holidays

Disability insurance

Life insurance

Job summary

Humana, Inc. is seeking a Senior Research Scientist to apply statistical, epidemiologic, and causal inference methods to large healthcare datasets.

You will evaluate clinical program performance, identify drivers of outcomes, and inform strategic decisions within the Quality & Cost Strategy Analytics team. The role emphasizes rigorous studies, translating complex findings into actionable recommendations for clinical, operational, and business partners, with a focus on improving health outcomes

Qualifications

• Master’s degree or PhD in Epidemiology, Biostatistics, Economics, Statistics, Health Services Research, Clinical Informatics, or a related quantitative discipline.
• 3+ years applying statistical and epidemiologic methods to large datasets.
• Strong foundation in causal inference and study design (observational studies, comparative effectiveness, RCTs).
• 3+ years manipulating and analyzing large datasets using Python, PySpark, R, SAS, or comparable tools.
• Strong analytical thinking and problem-solving; ability to translate problems into rigorous approaches.
• Ability to apply appropriate methodologies to complex research questions.
• Excellent written and verbal communication; synthesize complex methods for non-technical audiences.
• Attention to detail, organizational skills, and multi-priority management.
• Ability to work independently while collaborating across teams.
• Interest in healthcare and improving health outcomes.

Responsibilities

• Design and execute rigorous outcomes studies to evaluate clinical, utilization, and financial performance.
• Apply causal inference and epidemiologic methods to estimate program impact.
• Conduct deep-dive analyses using claims, enrollment, and operational data to identify performance drivers.
• Translate business questions into analytical hypotheses and study designs.
• Partner with stakeholders to translate insights into recommendations.
• Develop high-quality analytical reports and executive readouts.
• Explain complex methodologies and limitations to technical and non-technical audiences.
• Determine appropriate analytical approaches in complex situations.
• Manage multiple priorities with rigor and reproducibility.
• Align analytical work with broader department and enterprise strategies.

Skills

Epidemiology/biostatistics (PhD or MSc

Causal inference

Study design

Python

PySpark

R

SAS

Data analysis

Communication skills

Independent work

Education

Master’s degree or PhD in Epidemiology/Quantitative field

Tools

Python

PySpark

R

SAS

Job description

Humana, Inc. is seeking a Senior Research Scientist to apply statistical, epidemiologic, and causal inference methods to large healthcare datasets.

You will evaluate clinical program performance, identify drivers of outcomes, and inform strategic decisions within the Quality & Cost Strategy Analytics team. The role emphasizes rigorous studies, translating complex findings into actionable recommendations for clinical, operational, and business partners, with a focus on improving health outcomes