Remote Bispecifics Scientist for Preclinical R&D & AI

Obsidian

New York (NY)

Remote

USD 35,000 - 60,000

Part time

14 days+
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Job summary

Mercor, partnering with a venture-backed AI lab, seeks hands-on ADC and/or bispecific experts to guide developments at the intersection of wet-lab work and AI-driven data insights. This preclinical R&D role blends bench experience with modeling inputs and strategic decision-making.

You will review materials, label datasets, and help shape data pipelines while advising on target/modality choices and risk trade-offs. Part-time engagement (~10 hours/week) with seniority from IC to Director.

Qualifications

  • Hands-on preclinical R&D experience at a company developing its own drug assets and taking programs to the clinic.
  • Direct experience with ADCs and/or bispecific (or multispecific) antibodies.
  • Experience in core R&D functions: discovery biology, medicinal chemistry, protein/antibody engineering, computational, pharmacology/PK‑PD, or related.
  • 5+ years of relevant industry R&D experience.
  • Experience at mid-sized or emerging biotech (nice to have).
  • Not a good fit if your work is CRO/CDMO services, academic-only, QC/analytical-only, clinical-development-only, diagnostics, or regulatory/medical-writing.

Responsibilities

  • Review technical materials and real‑world R&D data across ADC and/or bispecific programs.
  • 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.

Skills

ADCs and bispecifics
Preclinical R&D
In-house drug development
Data annotation
Industry experience

Job description

Mercor, partnering with a venture-backed AI lab, seeks hands-on ADC and/or bispecific experts to guide developments at the intersection of wet-lab work and AI-driven data insights. This preclinical R&D role blends bench experience with modeling inputs and strategic decision-making.

You will review materials, label datasets, and help shape data pipelines while advising on target/modality choices and risk trade-offs. Part-time engagement (~10 hours/week) with seniority from IC to Director.

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