Senior Health Analytics Scientist (Remote)

Humana; Santa Fe (NM); Remote; USD 104,000 - 143,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Paid time off

Life insurance

Job summary

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

The role supports clinical program performance evaluation and strategy across the Quality & Cost Strategy Analytics team. Responsibilities include designing outcomes studies, translating findings into actionable recommendations, and presenting results to clinical, operational, and business partners.

Qualifications

• Master’s degree or PhD in Epidemiology, Biostatistics, Economics, Statistics, Health Services Research, Clinical Informatics, or related quantitative discipline.
• 3+ years applying statistical, epidemiologic, econometric, or related methods to large datasets.
• Strong foundation in causal inference and study design including observational studies and RCTs.
• 3+ years manipulating and analyzing large datasets using Python, PySpark, R, SAS, or comparable tools.
• Ability to translate ambiguous clinical or business questions into rigorous analytical approaches.
• Excellent written and verbal communication skills for non-technical audiences.
• Ability to manage multiple priorities with rigor and accuracy.

Responsibilities

• Design and execute rigorous outcomes studies to evaluate clinical program performance.
• Apply causal inference, epidemiologic, and statistical methods to estimate program impact.
• Conduct deep-dive analyses using claims, enrollment, and operational data to identify performance drivers.
• Translate questions into well-defined analytical designs and hypotheses.
• Partner with stakeholders to translate insights into clinical strategy and performance improvement.
• Develop high-quality analytical reports and executive readouts.
• Translate complex methodologies into clear business insights and communicate limitations.
• Independently determine analytical approaches in complex situations.
• Manage multiple priorities with high standards for rigor and reproducibility.
• Align analytical work with broader departmental and enterprise strategies.

Skills

Statistical analysis

Causal inference

Epidemiology

Python

PySpark

R

SAS

Education

Master’s or PhD in a 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.

The role supports clinical program performance evaluation and strategy across the Quality & Cost Strategy Analytics team. Responsibilities include designing outcomes studies, translating findings into actionable recommendations, and presenting results to clinical, operational, and business partners.