ADC/Bispecifics R&D Scientist - AI Trainer

mercor; United States; Remote; USD 117,000 - 196,000; Part time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. Mercor currently seeks a Preclinical R&D Expert focusing on ADC and bispecifics for remote, hourly engagement.

The contractor will review complex R&D data, annotate model outputs, and assist in critical development decisions across discovery to preclinical stages. You will work independently in a fast-paced environment, contributing scientific expertise to optimize target selection, modality choices, and pipeline

Qualifications

• Hands-on preclinical R&D experience in-house developing drug assets.
• Direct ADC/bispecific (or multispecific) antibody experience.
• Work in a core R&D function: discovery biology, medicinal chemistry, protein/antibody engineering, computational, in vivo/translational, pharmacology/PK-PD or toxicology.
• 5+ years of relevant industry R&D experience.

Responsibilities

• Review technical materials and real-world R&D data across ADC and/or bispecific programs.
• Label, classify, and annotate data and model outputs to improve AI model performance.
• Provide expert perspective on target/modality selection, optimization, risk, and development decisions.
• Help define structure and quality standards for the client's dataset pipeline.
• Participate in expert discussions, interviews, and research engagements.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Job description

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.

About the job

Position: Preclinical R&D Expert – ADC & Bispecifics

Type: Contract

Compensation: $85–$142/hour

Location: Remote

Hourly contractor

Responsibilities

• 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, trade-offs, and risk.
• Help define structure and quality standards for the client's dataset pipeline.
• Participate in expert discussions, interviews, and research engagements.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

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.