About this role
Mercor is partnering with a venture-backed AI lab building frontier AI platforms and physics-based foundation models for chemistry, materials science, and drug discovery. They're extending their platform into new areas of pharmaceutical development and are looking for hands-on ADC and/or bispecific experts to help guide what they build.
Are you a preclinical R&D scientist who has taken drug programs from the bench toward the clinic — and curious how AI is reshaping drug discovery? This is a hands-on role that blends your wet-lab and translational experience with a growing understanding of how scientific data trains the next generation of AI models.
In this role, you'll
- 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 (target/modality selection, optimization, trade-offs, risk)
- Help define structure and quality standards for the client's dataset pipeline
- Participate in expert discussions, interviews, and research engagements
You're a strong fit if you
- 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 — Must Have
- Have direct experience with ADCs and/or bispecific (or multispecific) antibodies — Must Have
- 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 — Must Have
- Have 5+ years of relevant industry R&D experience (flexible based on depth)