An older role: first posted 52d ago, and AI expert network still listed it when we checked today. Newer roles tend to fill faster. See the jobs hiring now.
What the work is
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.
Pay
$60–100/hr, fully remote.