Preclinical R&D Expert – In-house Drug Development
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.
- Pay
- Firm hourly pay: $60-$100 per hour
- Location
- Remote
- Eligibility
- Remote, applicant location not specified
- Qualification difficulty
- Selective
How current is this information?
The public role and application path were checked. Details can still change; this is not an endorsement or guarantee.
- Platform
- Mercor
- Fit category
- General professional
- Listing/source checked
- Aug 23, 2026
- Inventory presence checked
- Sep 28, 2026
- Apply link checked
- Aug 22, 2026
Application
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What this role involves
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.
Before you apply
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Why it may fit
- Professionals whose experience matches the current Preclinical R&D Expert – In-house Drug Development requirements.
- Applicants comfortable completing Mercor's role-specific assessment.
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Reasons to pause
- You cannot meet the listing's stated remote or location eligibility.
- You need guaranteed acceptance, hours, or project duration.
Still to verify
- Review the official Mercor listing before applying. Requirements, screening, pay, hours, and project availability can change.
- The reviewed listing had limited public detail; check the current platform page for the full requirements.
- Applicant eligibility still needs checking: Remote, applicant location not specified.
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