About this role
Apply hands-on preclinical drug-development expertise to help improve AI systems for chemistry, materials science, and drug discovery. This role brings real-world experience in antibody-drug conjugate and bispecific antibody programs into the development of scientific datasets and model capabilities that support pharmaceutical R&D.
Role OverviewYou will combine wet-lab and translational R&D experience with an interest in how scientific data can train next-generation AI models. Your contributions will help intelligent systems reason about practical drug-discovery and development decisions.
Key Responsibilities- Review technical materials and real-world R&D data from ADC and/or bispecific antibody programs.
- Label, classify, and annotate scientific data and model outputs to improve model performance.
- Provide expert input on target and modality selection, optimization, development trade-offs, and risks.
- Help establish structure and quality standards for the dataset pipeline.
- Participate in expert discussions, interviews, and research engagements.
- Work directly with the client team.
- 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.
- Direct experience with ADCs and/or bispecific or multispecific antibodies.
- Experience in a core R&D function, such as discovery biology, medicinal chemistry, protein or antibody engineering, computational science, in vivo or translational research, pharmacology or PK-PD, toxicology, or CMC or formulation.
- At least 5 years of relevant industry R&D experience, with flexibility based on depth of experience.
- Experience advancing a program through lead optimization or IND-enabling and preclinical development is preferred.
- Experience at a mid-sized, emerging, or resource-constrained biotech company is preferred, particularly for candidates currently outside the top 20 pharmaceutical companies.
- Individual contributors through Directors are welcome.
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, diagnostics, or regulatory or medical writing.
Work Terms- Remote, hourly engagement.
- Ongoing part-time commitment of approximately 10 hours per week.
$60 to $100 per hour.