Lead Data Scientist - Causal Inference (Contract)

Gavroche; Bolingbrook (IL); Hybrid; USD 170,000 - 243,000; Part time

Job summary

Jaan Health is seeking a highly experienced Lead Data Scientist specializing in causal inference and clinical outcomes research for a flexible, remote consulting engagement.

The consultant will design and execute a rigorous clinical outcomes study evaluating APCM and CCM programs using claims data and EHRs, with emphasis on causal methods, reproducibility, and senior-level leadership.

Qualifications

• Extensive professional experience in data science, biostatistics, epidemiology, health economics, or clinical outcomes research.
• Demonstrated expertise in causal inference and observational study design.
• Proven experience evaluating healthcare interventions and measuring clinical outcomes.
• Strong proficiency in Python, R, and SQL.
• Experience analyzing large-scale healthcare claims and EHR datasets.

Responsibilities

• Lead longitudinal, quasi-experimental clinical outcomes studies.
• Evaluate APCM and CCM programs using claims and EHR data.
• Establish cohorts, comparators, outcomes, and analytic frameworks.
• Quantify differences in hospitalizations, readmissions, and follow-up outcomes.
• Develop rigorous, reproducible methodologies for review.

Skills

Data science

Biostatistics

Epidemiology

Health economics

Clinical outcomes research

Education

Advanced degree in Statistics / Data Science / Biostatistics / Epidemiology / Health Economics

Tools

Python

R

SQL

dbt

Amazon Redshift

Looker

Job description

Jaan Health is seeking a highly experienced Lead Data Scientist specializing in causal inference and clinical outcomes research for a flexible, remote consulting engagement.

The consultant will design and execute a rigorous clinical outcomes study evaluating APCM and CCM programs using claims data and EHRs, with emphasis on causal methods, reproducibility, and senior-level leadership.