Head of Protein Vector Engineering

il y a 2 jours


Paris, Île-de-France BioTalent Temps plein

We are seeking a
Head of Protein Vector Engineering
to lead and scale our computational capabilities across protein engineering, structural biology, and AI-driven drug discovery.

This is a senior leadership role within the Protein & Vector Engineering function, with responsibility for defining computational strategy, driving scientific excellence, and enabling high-impact biologics, chemistry, and genomics programmes. You will work closely with senior scientific leadership and cross-functional teams to deliver innovative computational solutions across the drug discovery pipeline.

What this role offers

  • Strategic ownership of computational drug design across multiple therapeutic programmes
  • Leadership of AI- and computation-driven drug discovery initiatives
  • A highly collaborative, multidisciplinary environment (protein engineering, genomics, data science)
  • Opportunity to shape platform development and contribute to publications, patents, and long-term strategy

Key responsibilities

  • Define and lead the computational strategy for drug design, molecular modelling, and structural bioinformatics
  • Drive the design and execution of advanced workflows (MD, QM, protein & antibody design, AI/ML-enabled CDD)
  • Lead, mentor, and develop computational scientists, fostering scientific rigor and innovation
  • Build and scale robust, reproducible in-house computational pipelines and best practices
  • Partner closely with internal teams and external collaborators to advance therapeutic programmes

What you'll bring

  • PhD in computational biology, computational chemistry, structural bioinformatics, or a related field
  • 7+ years' experience in computational drug design or molecular modelling, including leadership responsibility
  • Deep expertise in structural bioinformatics, computational chemistry, and AI/ML applications
  • Strong programming skills (Python, R, Bash) and experience with modern scientific workflows
  • Hands-on experience with tools such as Schrödinger, MOE, Rosetta, PyMOL, AlphaFold

Nice to have

  • Experience with HPC and/or cloud computing environments
  • Peptide modelling expertise
  • Broad exposure to end-to-end drug discovery programmes

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