Head of Computational Protein - Paris - BioTalent

    BioTalent
    BioTalent Paris

    il y a 5 jours

    Description

    We are searching for a scientific leader to head the computational team focused on protein engineering, biologics, and delivery vectors within a drug design platform organisation.

    This role owns people leadership, scientific quality, and operational delivery, overseeing the application of advanced computational methods across internal programmes and partner-driven projects.

    Working closely with senior scientific and platform leadership, you will translate strategy into execution shaping how computational capabilities are developed, standardised, and scaled, while ensuring high-quality, on-time delivery of work that directly supports therapeutic design and development.

    What You'll Do


    • Lead, mentor, and develop a multidisciplinary Protein & Vector Engineering team


    • Own delivery of computational work across client, partner, and internal programmes


    • Coordinate closely with computational, translational, and platform teams to ensure smooth execution


    • Drive improvements in workflow standardisation, quality, and operational efficiency


    • Translate scientific and business priorities into resourcing plans and execution roadmaps


    • Provide clear delivery updates, risk assessments, and recommendations to senior stakeholders

    What You'll Bring


    • PhD in Computational Chemistry, Structural Bioinformatics, Data Science, or related field


    • Proven experience leading scientific or technical teams in an industrial setting


    • Strong background in computational drug design, biologics, peptides, or vector engineering


    • Demonstrated ability to turn strategy into operational delivery


    • Excellent communication skills and comfort working across disciplines

    Nice to Have


    • Experience with cloud or HPC-based molecular simulations


    • Exposure to end-to-end computational drug discovery pipelines


    • Familiarity with reproducible research and workflow management


    • Experience scaling or industrialising AI / computational modelling platforms

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