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Preclinical R&D Expert – In-house Drug Development

STEP 1 · PRACTICE FIRSTTake a free AI practice interview for this kind of roleGet my practice interview ↓
STEP 2 · APPLYApply on Mercor when you’re readyApply on Mercor →

You apply directly on Mercor's site. Applying is free. Posted Aug 15, 2026.

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STEP 1 · PRACTICE BEFORE YOUR REAL INTERVIEW

Get your free practice interview for this role

Mercor screens applicants online, often with an AI interview. micro1 offers a free, 18-minute AI practice interview with feedback, and we picked the one closest to this role: Data Annotator. It covers:

Instruction FollowingAttention to DetailLogical Reasoning

Here’s your practice interview

Allow your microphone when it asks, find a quiet spot, and give yourself about 20 minutes. We’ve also emailed you the link and the free ebook.

Step 2: when you feel ready, apply.

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STEP 2 · APPLY

Apply for this role

You apply on Mercor's own site. It’s free, and you can apply even if you skip the practice.

Apply on Mercor →

Who this role suits

Researchers and PhD holders who want to use their subject expertise on remote, flexible projects.

Full job 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 preclinical R&D experts across drug modalities 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 in your area of expertise

  • 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

  • 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 hands-on experience with one or more drug modalities (small molecules, monoclonal antibodies, peptides, ADCs, bispecifics, mRNA, siRNA, ASOs, PROTACs, molecular glues, cell therapies, gene therapies, radioligand therapies, etc.) — 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.

Last checked open on Oct 28, 2026. Job description provided by Mercor.

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