EVP Head of Global In Silico and AI (all genders)

The EVP Head of Global In Silico and AI is a transformational executive leader responsible for shaping and executing Evotecs global strategy for AI-driven in silico innovation in drug discovery. Leading cross-functional teams included within the In Silico Hub as well as a Data Function you will champion the integration of AI computational science and data-driven decision-making across the R&D continuum.

This is a high-impact board-visible role with enterprise-wide influence bridging science technology and strategy to position Evotec at the forefront of AI-enabled drug discovery innovation.

As we reimagine how data and computation can accelerate drug discovery this role is central to embedding AI and in silico methods as a core capability. Youll lead the transformation from exploratory PoCs and a very scattered offering today to enterprise-scale solutions building a unified digital backbone that fuels our competitive advantage on the market.

Youll work shoulder-to-shoulder with the global function leaders to ensure that AI and in silico science become key pillars of Evotecs commercial value proposition.

Key Responsibilities

• Define and own the global AI and in silico strategy aligned to Evotecs scientific vision and growth trajectory.

• Establish a clear operating model that integrates data science bioinformatics AI/ML and simulation across discovery and development stages.

• Represent Evotecs in silico innovation at executive board partner and public levels.

• Lead the evolution of the In Silico Hub from PoCs to scalable end-to-end solutions for target ID lead optimization and translational science.

• Oversee deployment of AI/ML models molecular simulations and data integration pipelines across R&D.

• Advance use of multi-modal data including omics imaging real-world data and lab automation outputs.

• Build and lead a multidisciplinary center of excellence combining in silico science data strategy and platform engineering.

• Guide the creation implementation and evolution of a Data Function (incl. data governance domain stewardship data architecture modeling curation and product delivery) for united steering of data and use case delivery to create customer and client value; in close collaboration with a future Head of Data function.

• Foster a matrixed leadership model that provides strategic direction of in-silico expert teams within adjacent operations functions.

• Own the prioritization and resourcing model for AI/in-silico projects; serve as strategic gatekeeper through all innovation stages. Be responsible for long-term skills and capabilities demand management for in-silico/AI groups.

• Govern the lifecycle of in silico tools and ensure alignment with business impact and ROI.

• Partner closely with Translational Medicine IT Clinical Regulatory Operations and Commercial teams to embed AI tools in workflows and GTM strategies.

• Evaluate market trends and industry signals to steer AI investment toward competitive advantage.

• Develop and select strategic partnerships. Lead external collaborations with academic institutions AI providers regulators and digital consortia.

• Ensure compliance with data privacy FAIR principles and regulatory expectations (FDA EMA) through leadership and delegating this task to required SMEs.

• Lead others to define and report KPIs to monitor performance usage and strategic value of in silico capabilities.

Knowledge & Experience

• Min. MA/MsC or PhD in Computational Biology Bioinformatics Computer Science or related discipline

• 10 years of experience in AI/in-silico roles within biotech/pharma with proven executive-level leadership

• Strong background in computational drug discovery including lead ID/optimization translational modeling or patient stratification

• Deep understanding of ML/AI technologies systems biology data integration and scaling tools from concept to product

• Track record of building high-performing cross-disciplinary teams

• Strategic thinker with strong stakeholder engagement skills and experience in matrixed global environments

• Recognized thought leader in AI for Life Sciences with external visibility (publications consortia speaker roles)

Additional Experience

• Experience in platform architecture data governance and regulatory alignment

• Familiarity with FDA/EMA regulatory frameworks for in silico tools

• Expertise in cloud-native platforms (AWS Azure) high-performance computing or federated data environments

• Experience leading external partnerships (e.g. with startups AI labs or academic groups)

• Knowledge of FAIR data principles and ontologies

• Published in top-tier journals or patents in AI/in silico sciences

FR : Dans le cadre de sa politique Diversit Evotec tudie comptences gales 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.