Lead Data Scientist: Causal Inference for Clinical Outcomes

Phamily; Bolingbrook (IL); Hybrid; USD 193,000 - 220,000; Part time

Job summary

Phamily is seeking a Lead Data Scientist to drive causal inference and outcomes research for healthcare clients in a flexible, project-based engagement in Bolingbrook, IL. You will design quasi-experimental studies using claims and EHR data.

You will lead analytic teams, define cohorts, apply advanced methods like propensity scores and DiD, and deliver executive-ready results with robust documentation. This is a hybrid, part-time contractor role paying $150/hour.

Qualifications

• Extensive professional experience in data science, biostatistics, epidemiology, health economics, or clinical outcomes research.

Responsibilities

• Lead longitudinal quasi-experimental clinical outcomes studies.

Skills

Causal inference

Observational study design

Healthcare data analysis

Python

R

SQL

Education

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

Tools

dbt

Amazon Redshift

Looker

Job description

Phamily is seeking a Lead Data Scientist to drive causal inference and outcomes research for healthcare clients in a flexible, project-based engagement in Bolingbrook, IL. You will design quasi-experimental studies using claims and EHR data.

You will lead analytic teams, define cohorts, apply advanced methods like propensity scores and DiD, and deliver executive-ready results with robust documentation. This is a hybrid, part-time contractor role paying $150/hour.