DIRECTOR, COMPUTATIONAL DISCOVERY
PharmaQuality Assurancecroinform
Job description
We’re building the future of medical dermatology by focusing on unmet patient needs and giving people the space to think independently, take ownership and make an impact that matters. Our purpose is simple: to transform patients’ lives by addressing real needs. We work with care, act with courage, keep things simple and focus our innovation where it makes a difference. Recognised as a Top Employer in Spain since 2008 and in Germany since 2025, we continue to invest in an environment where people can grow and move forward. If you care differently, you belong here. Join our Global R&D hub in Barcelona, where computational science meets human impact. Lead the teams, technologies and discoveries that will shape the future of therapeutic innovation. Mission The Director of Computational Discovery will lead the strategic, scientific and operational direction of computational discovery activities (Bioinformatics and Molecular modelling), with a primary focus on disease understanding, target identification, molecular modelling and early translational research. This role will ensure high‑impact contributions of computational approaches to R&D programs and support the Head of R&D Data Science in shaping long‑term strategy and innovation across the R&D portfolio. Responsibilities Lead and mentor a team of experienced multidisciplinary computational discovery scientists, including bioinformatics and molecular modelling. Drive the design and execution of the computational strategy for target identification, validation, and molecular design. Ensure robust scientific contributions to cross‑functional R&D projects from early discovery to translational stages. Collaborate closely with Disease Biology, Molecules, Translational and Clinical leads, and other data science functions. Represent the Computational discovery team in strategic discussions, committees, and governance forums. Contribute to long‑term data science strategy, including technology scouting and external scientific partnerships. Ensure compliance with data governance standards, reproducibility requirements, and responsible AI guidelines. Qualifications PhD or equivalent in Computational Biology, Bioinformatics, Computational Chemistry, or related discipline. 10+ years of experience in computational discovery or related fields, with leadership experience. Strong understanding of drug discovery and translational research workflows. Proven ability to lead teams in matrixed R&D environments. Excellent communication and stakeholder engagement skills.
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