Director - Patient Analytics (Real World Evidence (RWE) & Data Science)

POSITION: We are seeking a highly experienced Associate Director / Director – Data Science to lead advanced analytics initiatives leveraging real-world data (RWD) such as claims, EMR/EHR, and other healthcare datasets. This role will focus on generating actionable insights across patient populations, provider behavior, disease progression, and treatment outcomes, enabling evidence-based decision-making across medical affairs, market access, and commercial strategy. This leader will drive end-to-end RWE strategy, advanced analytics solutioning, and client engagement, while building scalable capabilities across patient analytics, outcomes research, and predictive modeling.

KEY RESPONSIBILITIES

1. RWE Strategy & Leadership

Lead development and execution of RWE and patient analytics strategies aligned with client and organizational objectives

Act as a thought leader in Real-World Data (RWD) applications across medical affairs, HEOR, and commercial use cases

Drive innovation in evidence generation frameworks, including observational studies and advanced analytics

2. Advanced Analytics & Use Case Delivery: Lead and oversee analytics across key RWE domains:

Patient & Cohort Analytics

Patient Journey & Treatment Dynamics

Patient Finding & Predictive Modeling

Provider Analytics & Targeting

Market & Epidemiology Analytics

SDOH & Health Equity

HCRU & Cost Analytics

3. Client Engagement & Consulting

Lead multi-client engagements, ensuring high-quality delivery and client satisfaction

Translate complex analytics into clear, actionable business insights for senior stakeholders

Partner with Medical Affairs, HEOR, Market Access, and Commercial teams

4. Capability Building & Practice Development

Build and scale RWE analytics capabilities and reusable assets

Mentor and develop teams across data science, epidemiology, and analytics

Drive proposal development and business growth initiatives

5. Data & Technology Leadership

Work with large-scale healthcare datasets:Claims (open/closed)

EMR/EHR

Lab and genomics (where applicable)

Integrate multiple data sources for holistic patient-level insights

Apply advanced techniques:Machine Learning (classification, clustering, survival models)

Causal inference methods

Time-to-event and longitudinal analysis

Bachelor’s degree in quantitative field (Statistics, Economics, Computer Science, Life Sciences, etc.)

Advanced degree (MBA / PhD / MPH / MD) strongly preferred

10+ years of experience in life sciences consulting, healthcare analytics, or RWE

Core Skills & Expertise

Strong hands-on experience in:Cohort Development & Study Design

Patient Segmentation & Journey Analytics

Market Sizing & Epidemiology

Provider Targeting & Network Analysis

HCRU & Cost Analysis

Patient Finding & Switch Prediction Models

SDOH integration in healthcare analytics

Expertise in:SQL, Python

Claims & EMR data handling

Advanced statistical and ML techniques

Leadership & Consulting Skills

Proven ability to lead large, complex engagements

Strong st