The global Translational Biomarker department at Evotec supports the discovery and validation of markers, enabling better translatability of Evotec's and client's drug discovery and development projects. We are now searching for a
Head of Quantitative Biomarker Sciences (all genders)
Full time and permanent
who will lead a multidisciplinary team responsible for transforming discovery and (pre)clinical biomarker data into decision-driving evidence. This leader oversees biomarker data modelling across scales (small scale to big data), establishes and applies QSP models in partnership with Pharmacometrics across sites, develops AI/ML approaches for tissue image analytics (IHC/ISH), and delivers integrated analytics of Olink/NULISA panels and multi-omics data paired with clinical outcomes. The role is highly collaborative, working closely with AI/ML, in silico, pathology, pharmacometrics, clinical development, and biostatistics to accelerate therapeutic decision-making and biomarker strategy. The focus is exclusively on clinical and molecular biomarker data and its translation to program strategy and evidence packages.
Key Responsibilities
1. Define and execute the Quantitative Biomarker Sciences (QBS) strategy across our programs – from late-stage discovery to early-stage clinical trials.
2. Build, lead and develop a high-performing team of scientists and technical specialists; set goals, mentor talent, and cultivate a culture of open communication, scientific excellence and trust
3. Establish standards, governance, and best practices for biomarker data modelling, code quality, documentation, and model lifecycle management.
4. Proactively lead the development of statistical and machine learning models for discovery and preclinical biomarker datasets (e.g., longitudinal, high-dimensional, multimodal).
5. Co‑lead QSP model development with Pharmacometrics; align model assumptions, parameterization, and validation with clinical and translational biology.
6. Develop and evaluate AI/ML pipelines for IHC/ISH image analytics (e.g., segmentation, cell phenotyping, spatial features) and integrate them into biomarker projects, including validation against pathology truth sets and clinical endpoints.
7. Oversee integrative analyses connecting platforms, such as Olink/NULISA, and multiple biomarkers with clinical outcomes, safety signals, PK/PD, and exposure–response.
8. Serve as the principal QBS counterpart to Pharmacometrics, Clinical Development, Biostatistics, Pathology, AI/ML, and in silico modelling teams.
9. Provide clear, decision‑oriented communications and visualizations to study teams, governance, and external partners in a timely manner. Contribute to study design, sample strategy, and endpoint selection, including assay readiness and analytical performance considerations.
10. Lead and/or represent biomarkers, biomarker projects (stand-alone) and QBS in external collaborations (CROs, academic partners, consortia) and within project teams
Qualification
11. PhD (or equivalent experience) in Computational Biology, Bioinformatics, Biostatistics, Applied Math, Systems Pharmacology, or related field
12. Extensive experience in quantitative (biomarker) analytics, data science, pharmacometrics/systems modeling, or related domains, combined with proven leadership of diverse teams of scientists and/or specialists
13. Demonstrated experience with biomarker modeling (e.g., modelling of multiplex data, Olink, histopathology image analysis, multi-omics integration, clinical metadata integration) with downstream influence on study or portfolio decisions.
14. Deep Know-how and proven experience with AI/ML tools and implementation
15. Preferably hands‑on or oversight experience in QSP modelling (e.g., mechanistic, hybrid, or empirical)
16. Expertise in statistical modelling and ML for high‑dimensional data (e.g., mixed models, survival analyses, regularized models, tree-based and deep learning methods).
17. Demonstrated experience with scripting/coding languages, such as R and Python
18. Understanding of assay characteristics (e.g., LoD, precision, batch effects), data QC, and integration with PK/PD and clinical endpoints.
19. Proven ability to lead cross‑functional science, set clear priorities, and deliver to milestones.
20. Exceptional communication skills
Our offer:
21. A position within a vigorous and exciting professional environment promoted by an open culture and a spirit of community
22. A diverse, international workforce with a dynamic working environment that fosters creativity, innovations and teamwork
23. 30 days of annual holiday, monthly allowance for public transportation, and in-house canteen
24. Capital forming benefits, flexible working hours, holiday pay, and annual bonus depending on performance
To apply, please click on the “Apply” button and provide your application documents (CV and cover letter, including earliest possible start date and salary requirements). We are looking forward to getting to know you and to your application.
FR : Dans le cadre de sa politique Diversité, Evotec étudie, à compétences égales, toutes les candidatures dont celles des personnes en situation de handicap.
ENG : In the frame of our Diversity policy, Evotec considers, with equal competences, all applications including people with disabilities.