Senior Scientist, Translational Science

Join WhiteLab Genomics as a Senior Scientist in Translational Science. In this key scientific leadership role, you will drive and coordinate non-clinical research activities across our programs. You will contribute to the design, validation, and advancement of non-clinical strategies supporting the development of next-generation gene and cell therapies. Your work will directly support critical go/no-go decisions and the progression of our therapeutic portfolio. You will collaborate with internal cross-functional teams and external partners to ensure the robust design, execution, and interpretation of non-clinical studies.

• Contribuer à la conception, à la validation et à l'avancement des stratégies non cliniques soutenant le développement des thérapies géniques et cellulaires de nouvelle génération.
• Diriger et contribuer aux études précliniques visant à valider les technologies internes et les actifs biologiques novateurs, y compris les vecteurs viraux et non viraux.
• Collaborer avec des équipes internes et des partenaires externes pour garantir la conception, l'exécution et l'interprétation robustes des études non cliniques.
• You hold a PhD or are a highly experienced engineer in Molecular Biology, or a

• related field, with 5+ years of relevant experience in gene therapy, or closely related
• biotechnological applications in industry (start up environment is a plus).

• You have demonstrated leadership in the design, execution, and interpretation of in

• vitro and in vivo studies, with a strong command of vector development, delivery
• systems, and translational relevance. You are comfortable making high-impact
• scientific trade-offs and recommendations.

• You have a solid track record of leading and governing collaborations with CROs and

• external partners, ensuring scientific rigor, timelines, and alignment with program
• objectives.

• You are able to challenge, advise, and influence program direction, bringing senior-

level scientific judgment together with execution.

• You have Experience leveraging computational biology or data-driven approaches to

• optimize biological assets, vector design, or gene therapy delivery is a valuable
• asset, though not mandatory.