ED, Personalized & Precision Medicine

Role Summary

ED, Personalized & Precision Medicine role located in East Hanover, NJ. Leads data-driven decision support to advance personalized healthcare through analysis of EHR, clinical and diagnostic data, and real-world evidence. Drives communication of complex analytical findings to inform strategic decisions and patient care improvements.

Responsibilities

• Lead the team responsible for analyzing healthcare data, including clinical trial datasets, transactional claims, and electronic health records. Guide the application of established and novel statistical and analytical techniques to support strategic objectives in patient identification, diagnostics utilization, and RWE analytics.
• Develop and lead strategic partnerships with providers to identify eligible patients in their existing patient pools. Lead the team in leveraging analysis of provider EHR to inform strategic initiatives and improve patient outcomes.
• Oversee the use of data generated by digital health technologies (DHTs) to capture patient-generated data, electronic patient-reported outcomes (ePROs), and electronic clinical outcome assessments (eCOAs). Guide the team in supporting key strategic goals.
• Lead the tracking and analysis of metrics on companion diagnostic availability, offering, and usage. Provide the roadmap to enhance diagnostic strategies and improve patient care.
• Lead initiatives that analyze real-world evidence and clinical & diagnostic data to identify patterns and indicators associated with patient response to treatment regimens. Focus on strategic insights, especially regarding genetic and biomarker indicators.
• Aligning with NVS stakeholders on research, evidence development, and clinical strategies to drive strategic decision-making, generation of data-driven insights, and the implementation of personalized and precision medicine in healthcare systems.
• Guide the team in conducting the analysis, drafting and reviewing of the relevant sections of technical and study reports, manuscripts for publishing in high-impact peer-reviewed journals, and abstracts and presentations for international conferences. Ensure alignment with strategic goals and organizational priorities.
• Communicate complex concepts and interpretations of analysis and findings to diverse audiences, including internal leadership and stakeholders, health economists, clinicians, and health systems. Influence decision-making and strategic planning through effective communication.
• Communicate high impact relevant insights on underdiagnosed or undertreated patients to the Patient Finding team. Ensure insights are strategically aligned and actionable.

Qualifications

• Bachelor's degree in related field required; Master of Science and/or MBA preferred
• 10+ years of experience in the pharmaceutical or healthcare industry with deep understanding of personalized and precision medicine
• A bachelor’s degree in Medicine, Pharmacology, Epidemiology, Data Science, or a related field; MBA or advanced degree preferred
• 5+ years of domain expertise in personalized and precision healthcare secondary data analytics, data science, primary market research, field analytics and insights, market access and patient service analytics, or related strategic analytics
• 5+ years of people management experience leading data-driven decision-making at senior leadership levels
• Proficiency in analyzing healthcare data using advanced statistical techniques (e.g., data modelling, time-to-event analysis)
• Familiarity with digital health tools and patient-generated data applications
• Experience with clinical and diagnostic data to identify genetic and biomarker indicators
• Ability to draft and review technical reports, manuscripts, and presentations for high-impact scientific publications
• Excellent communication skills for presenting complex insights to diverse audiences
• Collaborative with healthcare providers, internal stakeholders, and cross-functional teams
• Strong leadership, negotiation, persuasion, collaboration, and analytical judgment
• Ability to thrive in a fast-paced environment and adapt to changing business needs

Skills

• Advanced analytical capabilities with healthcare data
• Statistical modeling and data science
• Real-world evidence and diagnostic analytics
• Clinical trial data and electronic health records analysis
• EHR, ePROs, eCOAs data capture
• Technical writing and publication preparation
• Cross-functional collaboration and stakeholder management
• Effective communication of complex concepts