About this role
Role Overview
Apply hands-on preclinical drug development expertise to help improve AI models for chemistry, materials science, and drug discovery. This role combines wet-lab and translational R&D experience with scientific data review, helping intelligent systems reason about real-world pharmaceutical development decisions.
Key Responsibilities
- Review technical materials and real-world R&D data within your area of expertise.
- Label, classify, and annotate scientific data and model outputs to improve model performance.
- Advise on scientific and development decisions, including target and modality selection, optimization, tradeoffs, and risk.
- Help establish structure and quality standards for a scientific dataset pipeline.
- Participate in expert discussions, interviews, and research engagements.
- Work directly with the client team.
Qualifications
- Hands-on, non-administrative preclinical R&D experience at a company that develops its own drug assets in house and has advanced programs to the clinic.
- Experience in a core R&D function, such as discovery biology, medicinal chemistry, protein or antibody engineering, computational R&D, in vivo or translational research, pharmacology or PK PD, toxicology, or CMC or formulation.
- Hands-on experience with one or more drug modalities, including small molecules, monoclonal antibodies, peptides, ADCs, bispecifics, mRNA, siRNA, ASOs, PROTACs, molecular glues, cell therapies, gene therapies, or radioligand therapies.
- At least 5 years of relevant industry R&D experience, with flexibility based on depth of expertise.
- Experience advancing a program through lead optimization or IND enabling or preclinical development is preferred.
- Experience at a mid-sized, emerging, or resource-constrained biotech is preferred, ideally with current experience outside the top 20 pharmaceutical companies.
- Suitable seniority ranges from individual contributor through Director.
Role Fit
This role is intended for hands-on preclinical R&D professionals. It is generally not a fit for candidates whose work is primarily CRO or CDMO services, academic-only research, QC or analytical work, clinical development only, diagnostics, or regulatory or medical writing.
Work Terms
- Remote, hourly engagement.
- Part-time commitment of roughly 10 hours per week.
Compensation
$60 to $100 per hour.