Associate Director, Companion Diagnostics Metrics (1 of 2)

Role Summary

The Associate Director, Companion Diagnostics Metrics role focuses on utilizing EHR, clinical and diagnostic data to track metrics on companion diagnostics availability, offering, and usage. This position reports into the ED, Personalized and Precision Medicine, and supports data-driven decision-making within the Insights and Decision Science team.

Responsibilities

• Collaborate with cross-functional team to analyze healthcare data, including clinical trial datasets, transactional claims, and electronic health records. Apply established statistical and analytical techniques to support patient identification, diagnostics utilization, and RWE analytics.
• Collaborate with providers to identify eligible patients in their existing patient pools. Support the analysis of provider EHR to facilitate patient identification.
• Utilize data generated by digital health technologies (DHTs) to capture patient-generated data, electronic patient-reported outcomes (ePROs), and electronic clinical outcome assessments (eCOAs). Support efforts in patient identification, diagnostic utilization, and RWE analytics.
• Monitor and report on metrics related to companion diagnostic availability, offering, and usage.
• Support the analysis of real-world evidence and clinical & diagnostic data to identify patterns and indicators associated with patient response to treatment regimens, focusing on genetic and biomarker indicators.
• Contribute to the drafting and reviewing of technical and study reports, manuscripts for publishing in high-impact peer-reviewed journals, and abstracts and presentations for international conferences.
• Communicate complex concepts and interpretations of analysis and findings to various audiences, including internal leadership and stakeholders, health economists, clinicians, and health systems.
• Share relevant insights on underdiagnosed or undertreated patients with the Patient Finding team to support their initiatives.

Education

• Bachelor's degree in related field is required; Master of Science and/or MBA preferred

Essential Requirements

• Minimum 6 years of experience in the pharmaceutical or healthcare industry, with a deep understanding of personalized and precision medicine
• 5+ years of domain expertise in these areas are highly desired: Personalized and precision healthcare secondary data analytics, data science, primary market research, field analytics and insights, market access and patient service analytics, or other related strategic analytics and management consulting
• 5+ years of people management experience. Proven track record of enabling data-driven decision-making at a senior leadership level, including addressing complex business challenges and shaping organizational strategy particularly 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