Posted
20 Aug 2026
Last seen
20 Aug 2026
Location
Japan
Lifecycle
fresh
Grade
C
About the jobMercor 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 DevelopmentType:ContractCompensation:$85–$142/hourLocation:RemoteRole 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.
QualificationsMust-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.
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.Originally posted on Himalayas
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.
QualificationsMust-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.
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.Originally posted on Himalayas