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 stakeholder management and client-facing experience
Experience working with global pharma/biotech clients
Preferred Experience
Experience with RWE, HEOR, or Medical Affairs analytics
Familiarity with regulatory and evidence-generation framework
All your information will be kept confidential according to EEO guidelines.
Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.
From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility.
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