Senior Manager - Data Scientist

Senior Manager, Biomarker Data Science & AI The opportunity

A global biopharmaceutical organization is building a new, cutting-edge Drug Development Data Science & Biomarker team and is seeking a Senior Manager, Biomarker Data Science & AI to help shape the future of precision medicine.

This is a hands‑on leadership role for an experienced data scientist with strong computational, statistical, and biological expertise, capable of translating complex multimodal data into actionable insights that accelerate drug development and biomarker strategy.

• Develop and apply computational and statistical methods for patient stratification using multimodal data (clinical, omics, and real‑world data)
• Partner with translational, clinical, and statistical scientists to define and execute biomarker strategies across development programs
• Contribute to the design, review, and execution of clinical protocols and statistical analysis plans (SAPs) with a biomarker focus
• Execute biomarker analyses using clinical trial datasets and real‑world evidence
• Perform advanced statistical analyses of high‑dimensional omics data (e.g. gene expression, sequencing)
• Design and validate predictive biomarkers and precision medicine approaches
• Develop, implement, and scale machine learning and deep learning models for longitudinal and time‑to‑event data
• Optimize and validate biomarker assays for use in clinical trials
• Translate innovative analytical approaches into robust, production‑ready workflows
• Collaborate cross‑functionally with clinicians, statisticians, translational scientists, IT, and data science teams
• Manage resources and priorities to deliver high‑quality outputs on multiple concurrent projects

• PhD in Computational Biology, Biostatistics, Statistics, Computer Science, or related field plus 1+ years’ experience,
• or Master’s degree with 3+ years’ industry experience
• Strong experience analyzing data from omics or molecular assays
• Solid understanding of molecular biology and disease pathways
• Proven experience in biomarker data analysis using clinical trial and/or electronic health record data
• Hands‑on expertise in AI/ML methods applied to pharma or biomedical R&D
• Proficiency in Python, R, SQL, and cloud platforms
• Experience building models for high‑dimensional, high‑throughput datasets
• Ability to work independently while thriving in cross‑functional, fast‑paced environments
• Excellent communication, data visualization, and stakeholder engagement skills

• Be part of a newly formed, high‑impact data science and biomarker function
• Influence global drug development strategy from early discovery through clinical development
• Work on precision medicine and predictive biomarkers at scale
• Combine hands‑on technical work with strategic leadership
• Collaborate with world‑class scientific and clinical teams
• Competitive base salary (location‑dependent) plus annual bonus and equity opportunities
• Comprehensive benefits supporting health, wellbeing, flexibility, and long‑term growth