Remote Preclinical R&D Expert - Drug Development

Mercor; Paris; Sur place; EUR 100 000 - 168 000; Plein temps

Résumé du poste

Mercor is seeking a Preclinical R&D Expert – In-house Drug Development for remote collaboration with leading AI-driven drug discovery programs. You will review technical materials and real-world data, label and annotate datasets, and provide expert input on target selection and modality choices, helping shape the client's dataset pipeline and AI platform decisions.

Ideal candidates have hands-on, non-administrative preclinical R&D experience, 5+ years in the industry, and familiarity with

Qualifications

• Hands-on, non-administrative preclinical R&D experience at a company that develops its own drug assets.
• 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.
• Hands-on experience with one or more drug modalities (small molecules, monoclonal antibodies, peptides, ADCs, bispecifics, mRNA, siRNA, ASOs, PROTACs, molecular glues, cell therapies, gene therapies, radioligand therapies, etc.).
• 5+ years of relevant industry R&D experience.

Responsabilités

• Review technical materials and real-world R&D data in your area of expertise to improve AI model performance.
• Label, classify, and annotate scientific data and model outputs to enhance model accuracy.
• Provide expert perspective on key scientific and development decisions, including target and modality selection.
• Help define structure and quality standards for the client's dataset pipeline.
• Participate in expert discussions, interviews, and research engagements to guide AI platform development.

Connaissances

Preclinical R&D

Core R&D functions

Drug modalities experience

5+ years experience

Description du poste

Mercor is seeking a Preclinical R&D Expert – In-house Drug Development for remote collaboration with leading AI-driven drug discovery programs. You will review technical materials and real-world data, label and annotate datasets, and provide expert input on target selection and modality choices, helping shape the client's dataset pipeline and AI platform decisions.

Ideal candidates have hands-on, non-administrative preclinical R&D experience, 5+ years in the industry, and familiarity with