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 preclinical R&D experts across drug modalities 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 in your area of expertise
- 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
- 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 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.) — Must Have
- Have 5+ years of relevant industry R&D experience (flexible based on depth)
- Have taken a program through lead optimization or IND-enabling/preclinical development (nice to have)
- Have experience at mid-sized, emerging, or resource-constrained biotech — ideally currently outside the top-20 pharmaceutical companies (nice to have)
This is a hands-on preclinical R&D role — likely not the right fit if your work is mainly CRO/CDMO services, academic-only, QC/analytical-only, clinical-development-only, diagnostics, or regulatory/medical-writing.
Your work will directly feed into the models reshaping how medicines are discovered, helping intelligent systems reason about real-world pharmaceutical R&D.
Here are more details about the role:
- You will interface directly with the client team.
- This is an ongoing, part-time engagement of roughly 10 hours per week.
- Seniority welcome from individual contributor through Director.
