Lead Data Scientist - Healthcare
Compensation estimateAI
See base, equity, bonus, and total comp estimates for this role — free, no credit card.
Sign up to see compensation estimatePlease apply to this job posting only if you check "Yes" for all the following mandatory requirements:
*1) Minimum of 6+ years of experience in Healthcare Industry.*
*2) Hands on Experience in Causal inference & Experimentation.*
*3) Open to a Full Time Employee Role (No C2C/W2)*
About The Job
📍 Hybrid (NY / NJ) | 💼 Full‑Time | ✈️ Visa Sponsorship Available
Role Overview
We are looking for a
Lead 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.
This is a Lead role with hands‑on individual contribution while leading cross functional teams to deliver the outcomes.
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 3 years of experience working with healthcare datasets such as medical & pharmacy claims, EHR, labs, or SDOH.
- 6+ 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.
Good to Have Requirements
- 3+ years of work experience with A/B Testing
- 6+ years of work experience with SQL
- 3+ years of work experience with Hypothesis Testing