Remote Lead Data Scientist - Causal Inference for Outcomes

Jobgether; United States; Remote; USD 170,000 - 243,000; Part time

Benefits offered by this job

Hourly rate $150

Part-time 10–15 hrs/week

Fully remote within United States

Job summary

Jobgether is seeking a senior data science or healthcare research professional for a flexible, remote consulting role in the United States. You will lead design and execution of longitudinal studies, measure impact on hospitalizations and readmissions, and analyze large datasets using Python, R, and SQL.

The engagement is part-time (10–15 hours/week) with the potential to increase, and compensation is USD 150 per hour.

Qualifications

• Senior data science or healthcare research professional.
• Experience with healthcare data and outcomes research.
• Experience with quasi-experimental study designs.
• Knowledge of causal inference methods.

Responsibilities

• Develop and execute longitudinal studies.
• Apply causal inference methods such as propensity score matching and difference-in-differences.
• Analyze large-scale healthcare claims and EHR datasets using Python, R, and SQL.

Skills

Analytical thinking

Research experience

Tools

Python

R

SQL

Propensity score matching

Difference-in-differences

Job description

Jobgether is seeking a senior data science or healthcare research professional for a flexible, remote consulting role in the United States. You will lead design and execution of longitudinal studies, measure impact on hospitalizations and readmissions, and analyze large datasets using Python, R, and SQL.

The engagement is part-time (10–15 hours/week) with the potential to increase, and compensation is USD 150 per hour.