Remote Senior Health Data Scientist: Causal Analytics

Humana; Helena (MT); Remote; USD 104,000 - 143,000; Full time

Job summary

Humana is seeking a Senior Research Scientist to design rigorous outcomes studies using observational and experimental methods in healthcare data. You will translate complex analytics into clear business insights for clinical, operational, and financial partners, and support performance management of clinical programs.

This remote role requires strong causal inference, epidemiologic and statistical skills, 3+ years in large datasets, and the ability to work independently across cross-functional

Qualifications

• Master’s degree or PhD in a quantitative field.
• 3+ years applying statistical methods to large datasets.
• Strong foundation in causal inference and study design.
• 3+ years using Python, PySpark, R, SAS.
• Excellent communication and ability to translate findings for non-technical audiences.
• Ability to work independently and across teams.

Responsibilities

• Design and execute 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.
• Translate questions into well-defined analytical designs and studies.
• Develop analytical reports and executive readouts for stakeholders.
• Communicate findings and limitations clearly to technical and non-technical audiences.
• Collaborate with multidisciplinary teams to drive program improvements.
• Manage multiple analytical priorities with rigor and reproducibility.
• Align analytical work with department and enterprise strategies.

Skills

Analytical thinking

Problem solving

Communication

Independent work

Cross-functional

Education

Master’s degree in Epidemiology

PhD in Biostatistics

Quantitative discipline

Tools

Python

PySpark

R

SAS

Databricks

Azure

Job description

Humana is seeking a Senior Research Scientist to design rigorous outcomes studies using observational and experimental methods in healthcare data. You will translate complex analytics into clear business insights for clinical, operational, and financial partners, and support performance management of clinical programs.

This remote role requires strong causal inference, epidemiologic and statistical skills, 3+ years in large datasets, and the ability to work independently across cross-functional