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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 .
Review technical materials and real-world R&D data across ADC and/or bispecific programs .
Label, classify, and annotate scientific data and model outputs to improve model performance .
Provide expert perspective on key scientific and development decisions, including target/modality selection, optimization, and risk assessment.
Help define structure and quality standards for the client's dataset pipeline.
Participate in expert discussions, interviews, and research engagements.
Qualifications
Must-Have
Hands-on, non-administrative preclinical R&D experience at a company that develops its own drug assets in-house and has taken programs to the clinic.
Direct experience with ADCs and/or bispecific (or multispecific) antibodies .
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.
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, ideally outside the top-20 pharmaceutical companies.
Application Process (Takes 20–30 mins to complete)
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