Preclinical R&D Scientist for AI Model Training

SaidGig; New York (NY); À distance; USD 83 000 - 138 000; Plein temps

Résumé du poste

SaidGig in New York seeks a hands-on preclinical R&D professional to help improve AI models for chemistry, materials science and drug discovery. The role blends wet-lab and translational experience with scientific data review to inform real-world development decisions.

Remote, hourly, part-time engagement (~10 hours per week). You will review materials, label data, annotate outputs, and advise on target selection, modality choices and risk, working directly with the client team.

Qualifications

• Hands-on preclinical R&D experience in a company developing its own assets.
• Experience in discovery biology, medicinal chemistry, PK/PD, toxicology, or CMC.
• Experience with one or more drug modalities (small molecules, antibodies, RNA therapeutics, biologics).
• 5+ years in industry R&D, flexible by depth.
• Seniority from IC to Director.

Responsabilités

• Review technical materials and 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 selection 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.

Connaissances

Preclinical R&D

Drug modalities

IND enabling

Translational research

Model annotation

Data review

Description du poste

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.