Lead the Computational Discovery group to advance disease understanding, target identification, and molecular design. You will drive computational strategy and ensure high-impact contributions across early discovery to translational stages, collaborating with biology, chemistry, and clinical teams. Shape long-term data science strategy and partnerships while upholding governance and responsible AI standards. This role sits at our Barcelona R&D; hub, enabling scientific leadership with real patient impact.
Responsabilidades
- Lead a multidisciplinary computational discovery team (bioinformatics and molecular modelling).
- Drive design and execution of computational strategy for target identification, validation, and molecular design.
- Ensure robust scientific contributions across early discovery to translational stages in cross-functional projects.
- Collaborate with Disease Biology, Molecules, Translational and Clinical leads, and other data science functions.
- Represent the Computational discovery team in strategic discussions and governance forums.
- Contribute to long-term data science strategy, including technology scouting and external partnerships.
- Ensure compliance with data governance, reproducibility, and responsible AI guidelines.
Requisitos principales
- 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