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Chemistry & Biology AI Training Roles — Mercor via Applied Clinical Judgement
Applied Clinical Judgement
Remote AI training roles — Chemistry & Biology via Mercor
Eligibility
Assessing

Remote AI training roles for chemists and biologists

Mercor is hiring PhD-level chemists, biologists, and life scientists to contribute domain expertise to AI model training projects with leading AI research labs. Work is remote, asynchronous, and structured around your existing commitments.

These roles are listed on Mercor via Applied Clinical Judgement (ACJ). ACJ earns a referral fee if you register via these links — this is disclosed openly and has no effect on your pay, your application, or how Mercor assesses you.

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Asynchronous work

Tasks completed on your own schedule — no fixed shifts, no patient contact, no urgent deadlines.

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Scientific reasoning

Designing problems, evaluating AI outputs, writing reference answers and rubrics in your domain.

Your timeline

Onboarding takes 20–40 minutes. First paid task typically 1–6 weeks after approval.

Before you apply: Open the role card below that best matches your background, complete the short fit check quiz, and read the consent statements carefully before clicking Apply. Eligibility varies by role — check the requirements. If you have not previously registered with Mercor, mention Sean Key and Applied Clinical Judgement as your referrer during onboarding.

Mercor is seeking Clinical Research Experts with a background in Chemistry, Biology, Biochemistry, Molecular Biology, Pharmacology, or a related field for a premier project with a leading AI lab. You will contribute subject-matter expertise to a cutting-edge project involving state-of-the-art large language models — specifically helping create high-quality data by coming up with difficult problems in your domain. The role is ongoing with rolling applications. Experts contribute 4–6 tasks per week, each taking several hours. Tasks include designing advanced research problems, evaluating experimental frameworks, and generating high-quality technical content.

Key requirementsPhD (or equivalent doctoral degree) in Clinical Research, Chemistry, Biology, Biochemistry, Molecular Biology, Pharmacology, or related field. Undergraduate degree from US, UK, Canada, or Western Europe. Graduate degree from a top university in the same region. Demonstrated expertise in clinical study design, experimental methodology, biochemical or chemical analysis, or translational research. Exceptional written English. No H1-B or STEM OPT support.

Step 1 of 2 — Check your fit

Quick fit check — 6 questions

1. Your highest qualification

2. Where did you receive your undergraduate and graduate degrees?

3. Relevant expertise area

4. Written English proficiency

5. Weekly availability

6. AI tools familiarity

Answer all questions above to unlock this button.
🔒 Step 2 of 2 — Application formComplete the fit check above and click “Check my fit” to unlock the confirmation and apply button.

Mercor is seeking PhD-level life scientists with deep expertise across biology, omics, and computation to support a research project with a leading AI lab. You will leverage your domain knowledge in biology to create challenges for leading AI models — ensuring scientific accuracy, experimental rigour, and sound reasoning across complex biological questions. Your hands-on research experience will directly shape how next-generation AI systems understand and reason about the life sciences. This is a pilot programme requiring high-touch contribution with potential for extension.

Key requirementsPhD or MD/PhD in a life-science field (molecular biology, biochemistry, genetics, bioengineering, systems biology or similar). Currently or recently active in academia — faculty, staff scientist, research scientist, or postdoc with an active institutional affiliation. Hands-on wet-lab experience — must have designed and executed experiments (not purely computational). Evidence of research impact — published peer-reviewed work or influential preprints with clear contributions (first/second author papers, senior-author leadership, or widely used methods). Domain expertise in at least one of: Genomics, Transcriptomics, Epigenetics, Proteomics. Based in UK, US, or Canada. No H1-B or STEM OPT support.

Step 1 of 2 — Check your fit

Quick fit check — 6 questions

1. Your qualification and research status

2. Wet-lab experience

3. Domain expertise

4. Published research impact

5. Country of residence

6. Weekly availability

Answer all questions above to unlock this button.
🔒 Step 2 of 2 — Application formComplete the fit check above and click “Check my fit” to unlock the confirmation and apply button.

Mercor is hiring Drug Discovery Scientists and Toxicology Experts for an AI-driven life sciences partner building advanced scientific reasoning systems for drug discovery, safety assessment, and translational pharmacology. You will apply deep expertise in drug discovery or toxicology to review, annotate, and validate scientific datasets and reasoning used to train next-generation biomedical AI models. Work spans scientific data annotation, quality review and validation, methodology contribution, model evaluation, and documentation support. This role bridges real-world therapeutic discovery and safety science with applied AI.

Key requirementsPhD, PharmD, DVM, MD, or MS with significant industry experience in Medicinal Chemistry, Pharmacology, Toxicology, Chemical Biology, Molecular Biology, Pharmaceutical Sciences, or Biochemistry. 3–5 or more years hands-on experience in drug discovery or safety assessment including drug discovery programs from target validation through lead optimisation, SAR analysis, PK/ADME interpretation, toxicology and safety pharmacology. Strong expertise in target biology, dose-response relationships, translational interpretation, and toxicity mechanisms. No H1-B or STEM OPT support.

Step 1 of 2 — Check your fit

Quick fit check — 6 questions

1. Your qualification

2. Industry experience in drug discovery or safety assessment

3. Core expertise area

4. Experience interpreting primary experimental data

5. Written English proficiency

6. Weekly availability

Answer all questions above to unlock this button.
🔒 Step 2 of 2 — Application formComplete the fit check above and click “Check my fit” to unlock the confirmation and apply button.

Mercor is seeking PhD-level consultants with deep expertise spanning preclinical development through early clinical stages. The ideal candidate has led or meaningfully contributed to programmes navigating target validation through first-in-human studies and can independently drive strategic decisions at key inflection points. Consultants support high-impact deliverables from preclinical study strategy and data interpretation through clinical programme design and quantitative analysis. Work spans preclinical study design, data interpretation, early clinical programme design, quantitative pharmacology, clinical modelling, and biostatistics.

Key requirementsPhD, MD, and/or PharmD in pharmacology, pharmaceutical sciences, biostatistics, quantitative biology, or a related field. 5 or more years of industry experience in pharma, biotech, or CRO environments. Based in the United States or United Kingdom. Direct experience supporting at least one programme from late preclinical stages through IND or into early clinical development. Ability to independently evaluate complex data packages and deliver clear, actionable recommendations. No H1-B or STEM OPT support.

Step 1 of 2 — Check your fit

Quick fit check — 6 questions

1. Your qualification

2. Industry experience in pharma, biotech, or CRO

3. Preclinical to clinical experience

4. Country of residence

5. Quantitative or modelling skills

6. Weekly availability

Answer all questions above to unlock this button.
🔒 Step 2 of 2 — Application formComplete the fit check above and click “Check my fit” to unlock the confirmation and apply button.

This is not a specific project posting — it is an open application to join Mercor’s Biologist Expert Network. By applying, you enter the pool from which Mercor matches biologists to AI training projects as they become available. You apply once, complete your profile and pass an AI interview, and Mercor then invites you to interview for specific opportunities that match your expertise and schedule preferences. Projects in the network span molecular and cellular biology, experimental design, lab research, data analysis in life sciences, and domain-specific feedback for AI research. Typical project commitments run from 15 to 30 hours per week. Payments are processed weekly via Stripe or Wise. No specific geography restriction applies to the talent network itself, though individual projects within it may carry location requirements.

Key requirementsProfessional experience in molecular and cellular biology techniques, experimental design and lab research, or data analysis in life sciences. Strong written communication skills in English. Ability to work independently in a remote environment. No H1-B or STEM OPT support at this time.

Step 1 of 2 — Check your fit

Quick fit check — 5 questions

1. Your qualification and background

2. Hands-on biology experience

3. Written English proficiency

4. AI tools familiarity

5. Weekly availability

Answer all questions above to unlock this button.
🔒 Step 2 of 2 — Application formComplete the fit check above and click “Check my fit” to unlock the confirmation and apply button.

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