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Preclinical R&D Expert – ADC & Bispecifics

Mercor · 100% remote · Contract · Posted

Pay
$60–100/hr
Location
Worldwide
Languages
English
Hours
10 hours per week
Openings
Not listed
Level
Expert
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Summary

Review and annotate preclinical R&D data for ADC and bispecific programs to improve AI model performance. Provide expert guidance on scientific decisions and dataset quality.

What you'll do

  • 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 scientific and development decisions
  • Help define structure and quality standards for the dataset pipeline
  • Participate in expert discussions, interviews, and research engagements

Requirements

  • Have hands-on, non-administrative preclinical R&D experience at a company with in-house drug assets
  • Have direct experience with ADCs and/or bispecific antibodies
  • Work in a core R&D function such as discovery biology, medicinal chemistry, protein/antibody engineering, or pharmacology
  • Have 5+ years of relevant industry R&D experience

Skills

  • Antibody-Drug Conjugates
  • Bispecific Antibodies
  • Preclinical R&D
  • Drug Discovery
  • Translational Research
  • Pharmacology

Full description

Mercor is partnering with a venture-backed AI lab building frontier AI platforms and physics-based foundation models for chemistry, materials science, and drug discovery. They're extending their platform into new areas of pharmaceutical development and are looking for hands-on ADC and/or bispecific experts to help guide what they build.

Are you a preclinical R&D scientist who has taken drug programs from the bench toward the clinic — and curious how AI is reshaping drug discovery? This is a hands-on role that blends your wet-lab and translational experience with a growing understanding of how scientific data trains the next generation of AI models.

In this role, you'll:

  • 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

You're a strong fit if you:

  • Have hands-on, non-administrative preclinical R&D experience at a company that develops its own drug assets in-house and has taken programs to the clinic — Must Have

  • Have direct experience with ADCs and/or bispecific (or multispecific) antibodies — Must Have

  • Work in a core R&D function: discovery biology, medicinal chemistry, protein/antibody engineering, computational, in vivo/translational, pharmacology/PK-PD, toxicology, or CMC/formulation — Must Have

  • Have 5+ years of relevant industry R&D experience (flexible based on depth)

  • Have taken a program through lead optimization or IND-enabling/preclinical development (nice to have)

  • Have experience at mid-sized, emerging, or resource-constrained biotech — ideally currently outside the top-20 pharmaceutical companies (nice to have)

This is a hands-on preclinical R&D role — likely not the right fit if your work is mainly CRO/CDMO services, academic-only, QC/analytical-only, clinical-development-only, diagnostics, or regulatory/medical-writing.

Your work will directly feed into the models reshaping how medicines are discovered, helping intelligent systems reason about real-world pharmaceutical R&D.

Here are more details about the role:

  • You will interface directly with the client team.

  • This is an ongoing, part-time engagement of roughly 10 hours per week.

  • Seniority welcome from individual contributor through Director.

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