Preclinical R&D Scientist for AI-Driven Drug Discovery

Mercor; Paris; Sur place; EUR 26 000 - 36 000; Temps partiel

Résumé du poste

Mercor is partnering with a venture-backed AI lab building frontier AI platforms and physics-based foundation models for chemistry, materials science, and drug discovery. They are extending their platform into new areas of pharmaceutical development and seek hands-on preclinical R&D experts to guide what they build.

Are you a preclinical R&D scientist who has taken drug programs from the bench toward the clinic and curious how AI reshapes drug discovery?

Qualifications

• Must have hands-on preclinical R&D experience at a company that develops its own drug assets and has advanced programs to the clinic.
• Must work in a core R&D function: discovery biology, medicinal chemistry, protein/antibody engineering, computational, in vivo/translational, pharmacology/PK-PD, toxicology, or CMC/formulation.
• Must have hands-on experience with one or more drug modalities (e.g., small molecules, antibodies, peptides, ADCs, mRNA, ASOs, PROTACs, cell therapies).
• Have 5+ years of relevant industry R&D experience (depth flexible).
• Experience taking a program through lead optimization or IND-enabling/preclinical development is a nice-to-have.

Responsabilités

• In this role, you'll review technical materials and real-world R&D data in your area of expertise.
• Label, classify, and annotate scientific data and model outputs to improve model performance.
• Provide expert perspective on key scientific and development decisions (target/modality selection, optimization, risk).
• Help define structure and quality standards for the client dataset pipeline.
• Participate in expert discussions, interviews, and research engagements.

Description du poste

Mercor is partnering with a venture-backed AI lab building frontier AI platforms and physics-based foundation models for chemistry, materials science, and drug discovery. They are extending their platform into new areas of pharmaceutical development and seek hands-on preclinical R&D experts to guide what they build.

Are you a preclinical R&D scientist who has taken drug programs from the bench toward the clinic and curious how AI reshapes drug discovery?