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Preclinical R&D Scientist - Drug Expert - AI Trainer

Job in Jacksonville, Duval County, Florida, 32099, USA
Listing for: mercor
Full Time position
Listed on 2026-10-28
Job specializations:
  • Research/Development
    Research Scientist, Drug Discovery, Biotech Research, Biotechnology
Salary/Wage Range or Industry Benchmark: 85 - 142 USD Hourly USD 85.00 142.00 HOUR
Job Description & How to Apply Below
About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position:
Preclinical R&D Expert – In-house Drug Development Type:
Contract Compensation: $85–$142/hour

Location:

Remote

Role 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 .
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‑size, emerging, or resource‑constrained biotech.
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