Data Scientist – Healthcare (Causal Inference & Experimentation)

Job Title: Data Scientist – Healthcare (Causal Inference & Experimentation)

Location:

Remote (USA)

Hire Type:

Full-Time Permanent Role (No Contract)

Overall Experience:

5 to 10 Years

Role Overview

We are looking for a Data Scientist to support advanced analytics within a healthcare portfolio, focusing on patient outcomes, real-world evidence (RWE), and data-driven decision-making. The role involves working with healthcare datasets such as claims, EHR, labs, and SDOH to generate insights and measure the impact of clinical and operational interventions.

Key Responsibilities

• Analyze large-scale healthcare datasets (medical & pharmacy claims, EHR, labs, SDOH)

• Design and execute real-world evidence (RWE) studies

• Apply statistical and quasi-experimental methods to evaluate intervention impact

• Develop predictive and analytical models to support population health strategies

• Analyze patient journeys, care patterns, and provider networks

• Identify healthcare disparities and access barriers

• Translate analyses into actionable insights for stakeholders

• Build dashboards and reporting tools

Must-Have Skills & Experience

• At least 2 years of experience working with healthcare datasets such as medical & pharmacy claims, EHR, labs, or SDOH

• 3+ years of hands-on experience applying statistics including hypothesis testing, regression modeling, and causal analysis

• Strong experience applying cohort analysis and quasi-experimental methods to evaluate intervention impact

• Strong proficiency in SQL for large-scale data analysis and Python or R for statistical modeling

• Ability to translate complex statistical analyses into actionable insights for business stakeholders

• Strong understanding of metrics, experiment frameworks, and performance measurement

Mandatory Requirements

• At least 3 years of experience in causal inference & experimentation

• In-depth understanding of statistics for data science

• At least 2 years of experience working with healthcare data

• Proficiency in Python and SQL

Interview Process

• Internal Round:

1 Hour (Technical/Coding)

• End Client Rounds:

3 rounds, 30 minutes each