Remote Preclinical R&D Scientist — Drug Development

Mercor; England; On-site; GBP 87,000 - 145,000; Full time

Job summary

Mercor is seeking a Preclinical R&D Expert for in-house drug development, a remote contract role offering a challenging opportunity in AI-driven research. You will review R&D data, label and annotate scientific information, and provide expert guidance on target and modality selection while helping shape the dataset pipeline and AI platform strategy.

The position requires 5+ years of industry R&D, with hands-on experience across discovery biology, pharmacology, toxicology, CMC, and drug

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, 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

AI model evaluation

Data labeling

Scientific data analysis

Preclinical R&D experience

Job description

Mercor is seeking a Preclinical R&D Expert for in-house drug development, a remote contract role offering a challenging opportunity in AI-driven research. You will review R&D data, label and annotate scientific information, and provide expert guidance on target and modality selection while helping shape the dataset pipeline and AI platform strategy.

The position requires 5+ years of industry R&D, with hands-on experience across discovery biology, pharmacology, toxicology, CMC, and drug