Associate Director Biomarker Lead – CVM

Overview

In this role, you will lead CVM disease biomarker strategies and drive translational biomarker programs across early and late-phase development. You will be a core member of CVM clinical teams, shaping disease biology, precision medicine approaches, and data-driven decision making. You’ll lead a matrix of experts to advance biomarker goals and collaborate across global biomarker science functions. The position offers impact across a multi-indication CVM portfolio including heart failure, atherosclerosis, obesity and atrial fibrillation.

Pay / Benefits

• flexible and hybrid working options
• wellbeing resources
• retirement plans
• insurance plans
• global recognition programs
• long-term equity awards

Responsibilities

• Deliver biomarker strategies and plans across early-phase CVM and support late-phase assets
• Lead matrixed team of SMEs and program stakeholders to develop biomarker strategies across R&D-Commercial
• Represent Biomarker Development on Disease Area Boards to drive disease biology and precision medicine
• Lead translational data groups to analyze multi-modal patient data (omics, imaging, digital) for new indications and endpoints
• Provide thought leadership with other TABLs to drive innovation and cross-portfolio synergies
• Represent BMD line functions in Therapeutic Area committees for protocol development and milestone reviews
• Lead biomarker strategies at the clinical team level as a Biomarker Strategy Lead
• Contribute to wide initiatives (genetics, inflammation, imaging) as background permits
• Stay current on clinical, disease, biology, and literature; collaborate with BMD global organization

Key requirements

• MD, MD/PhD, or PhD with postdoc or equivalent research experience
• Deep understanding of CV and metabolic diseases and related epidemiology
• Proven scientific excellence with publications; clinical or biological expertise in CV/metabolic diseases
• Experience in pharmaceutical/biotech research, CRO, or academic medical center
• Quantitative expertise in biostatistics, bioinformatics, computational biology, statistical genetics, or data science
• Experience interpreting omics data and leading data scientists
• Proven leadership in multidisciplinary matrix teams across pharma/biotech
• Strong interpersonal, negotiation, and presentation skills
• Fluency in English; additional languages a plus

• interpersonal influence
• strategic thinking
• effective communication
• biomarker strategy
• translational data science
• omics (genomics, proteomics)

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