[Hiring] Preclinical R&D Scientist @Mercor

Role Description

• 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.

Qualifications

• Must-Have:
• 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.
• Preferred:
• Experience taking a program through lead optimization or IND-enabling/preclinical development.
• Experience at mid-sized, emerging, or resource-constrained biotech.

Requirements

• Contract position.
• Compensation: $85–$142/hour.
• Location: Remote.

Application Process

• Upload resume.
• AI interview based on your resume.
• Submit form.

Resources & Support

• For details about the interview process and platform information, please check: Interview Process .
• For any help or support, reach out to: [email protected] .
• Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.