ED, Personalized & Precision Medicine

Role Summary

This position will be located in the East Hanover, NJ site. The Insights and Decision Science (IDS) team enables improved decision-making by leveraging data and advanced analytics to generate actionable insights that drive business growth. The role focuses on personalized and precision medicine, using EHR, clinical and diagnostic data to uncover patterns that improve patient identification, treatment efficacy, and outcomes. The individual will communicate complex analytical findings to inform strategic decisions and support the development of personalized treatment solutions.

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 is required; Master of Science and/or MBA preferred.
• 10+ years of experience in the pharmaceutical or healthcare industry, with a deep understanding of personalized and precision medicine.
• A bachelor’s degree in Medicine, Pharmacology, Epidemiology, Data Science, or a related field; an MBA or advanced degree is preferred.
• 5+ years of domain expertise in areas including 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 and management consulting.
• 5+ years of people management experience with a proven track record of enabling data-driven decision-making at a senior leadership level, including addressing complex business challenges and shaping organizational strategy in therapeutic areas.
• Proficiency in analyzing healthcare data, including clinical trial datasets and electronic health records, using advanced statistical techniques (e.g., data modelling, time-to-event analysis).
• Familiarity with digital health tools/technologies and their application in capturing patient-generated data and outcomes.
• Experience in working with clinical and diagnostic data to identify genetic and biomarker indicators that influence treatment efficacy.
• Ability to draft and review technical reports, manuscripts, and presentations for high-impact scientific publications and conferences.
• Excellent communication skills, with the ability to present complex insights and strategies effectively to diverse audiences.
• Proven ability to collaborate with healthcare providers, internal stakeholders, and cross-functional teams to align strategies and initiatives.
• Strong leadership skills in a team environment which requires negotiation, persuasion, collaboration, and analytical judgment.
• Ability to thrive in a fast-paced, dynamic environment and adapt to changing business needs and priorities.