Head of Quantitative Biomarker Sciences | Head of Quantitative Biomarker Sciences (all genders)
Evotec SE
Job Summary
The Head of Quantitative Biomarker Sciences leads a multidisciplinary team within the global Translational Biomarker department, focusing on transforming discovery and (pre)clinical biomarker data into decision-driving evidence. In this role, you will define the Quantitative Biomarker Sciences (QBS) strategy from late-stage discovery through early-stage clinical trials. Your day-to-day involves overseeing biomarker data modeling across various scales, establishing Quantitative Systems Pharmacology (QSP) models, and developing AI/ML approaches for tissue image analytics and multi-omics data integration. This position is highly collaborative, requiring close partnership with AI/ML, pathology, pharmacometrics, and clinical development teams to accelerate therapeutic decision-making. The role is unique for its focus on integrating high-dimensional data (like Olink/NULISA) with clinical outcomes to shape program strategies. It offers a dynamic, international environment with a strong emphasis on scientific excellence, innovation, and leadership within a permanent, full-time framework.
Required Skills
Education
PhD (or equivalent experience) in Computational Biology, Bioinformatics, Biostatistics, Applied Mathematics, Systems Pharmacology, or a related field.
Experience
- Extensive professional experience in quantitative biomarker analytics, data science, or pharmacometrics
- Proven leadership experience managing diverse teams of scientists and technical specialists
- Demonstrated experience with biomarker modeling including multiplex data, histopathology image analysis, and clinical metadata integration
- Deep expertise in implementing AI/ML tools and pipelines
- Experience with scripting and coding for high-dimensional data analysis
- Proven track record of leading cross-functional science and delivering to milestones
Languages
Additional
- Permanent full-time position. Requires ability to lead external collaborations with CROs and academic partners. Location-based benefits include public transportation allowance and in-house canteen.