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EV
Evotec SE
5mo ago

EVP Head of Global In Silico and AI(m/w/x)

Hamburg
Full-timeOn-siteSenior
AI/ML

Description

In this high-impact role, you will shape the global strategy for AI-driven drug discovery at Evotec, leading cross-functional teams to integrate AI and data science into R&D. Your work will drive the evolution of in silico methods, ensuring they become core to the company's value proposition.

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Requirements

  • •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
  • •Strong background in computational drug discovery
  • •Deep understanding of ML/AI technologies and data integration
  • •Track record of building high-performing, cross-disciplinary teams
  • •Strategic thinker with strong stakeholder engagement skills
  • •Recognized thought leader in AI for Life Sciences
  • •Experience in platform architecture and data governance
  • •Familiarity with FDA/EMA regulatory frameworks
  • •Expertise in cloud-native platforms (AWS, Azure)
  • •Experience leading external partnerships
  • •Knowledge of FAIR data principles and ontologies
  • •Published in top-tier journals or patents in AI/in silico sciences

Education

Master's degree
OR
Doctoral / PhD

Work Experience

10 years

Tasks

  • •Define and own the global AI and in silico strategy
  • •Establish an operating model integrating data science, bioinformatics, AI/ML, and simulation
  • •Represent Evotec’s in silico innovation at executive and public levels
  • •Lead the evolution of the In Silico Hub to scalable solutions for target ID and lead optimization
  • •Oversee deployment of AI/ML models and data integration pipelines across R&D
  • •Advance the use of multi-modal data, including omics and imaging
  • •Build and lead a multidisciplinary center of excellence in in silico science and data strategy
  • •Guide the creation and evolution of a Data Function for unified data governance and delivery
  • •Foster a matrixed leadership model for in-silico expert teams
  • •Own the prioritization and resourcing model for AI/in-silico projects
  • •Govern the lifecycle of in silico tools for business impact and ROI
  • •Partner with Translational Medicine, IT, and Commercial teams to embed AI tools in workflows
  • •Evaluate market trends to steer AI investment for competitive advantage
  • •Develop and select strategic partnerships with academic institutions and AI providers
  • •Ensure compliance with data privacy and regulatory expectations
  • •Lead the definition and reporting of KPIs for in silico capabilities

Tools & Technologies

AWSAzure

Languages

English – Business Fluent

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