Senior Data Scientist (Causal Inference & Experimentation)

Salary: Up to $120K Base plus Bonus

Role Summary

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

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 statistics modeling.
• Ability to translate complex statistical analyses into actionable insights for business stakeholders.
• Strong understanding of metrics, experiment frameworks, and performance measurement.
• At least 3 years of work experience with A/B Testing
• At least 5 years of work experience with SQL
• At least 3 years of work experience with Hypothesis Testing