Preclinical R&D Scientist for AI-Enhanced Drug Discovery

SaidGig

New York (NY)

Remote

USD 83,000 - 138,000

Full time

6 days ago
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Job summary

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.

Responsibilities

  • 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.

Skills

Preclinical R&D
Drug modalities
IND enabling
Translational research
Model annotation
Data review

Job description

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.

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