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Business Process Management (BPM), Analytics, Digital Transformation, Consulting

Lead Data Scientist - Healthcare

New York, New York, United StatesHybridFull TimePosted todayVisa sponsorship available

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Please 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
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