Remote Preclinical R&D Expert – Drug Development

mercor; France; Remote; EUR 105,000 - 175,000; Full time

Job summary

Mercor is seeking a Preclinical R&D Expert – In-house Drug Development for a contract role. This remote position focuses on applying hands-on preclinical R&D expertise to support AI-driven drug discovery and development.

You will review technical materials and real-world data, label and annotate outputs, contribute to target and modality decisions, and help set data quality standards for the client’s dataset pipeline, leveraging 5+ years in industry R&D.

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, etc.).
• 5+ years of relevant industry R&D experience.

Responsibilities

• 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.

Skills

R&D experience

Preclinical work

Drug modalities

Job description

Mercor is seeking a Preclinical R&D Expert – In-house Drug Development for a contract role. This remote position focuses on applying hands-on preclinical R&D expertise to support AI-driven drug discovery and development.

You will review technical materials and real-world data, label and annotate outputs, contribute to target and modality decisions, and help set data quality standards for the client’s dataset pipeline, leveraging 5+ years in industry R&D.