Medicinal Chemist – AI‑Driven Drug Discovery Architect

Mercor; Greater London; Remote; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Claude Max subscription reimbursed

Flexible working hours

Job summary

Mercor in London is seeking experts to design a rigorous research problem framework for frontier AI in drug discovery. You will craft the prompt, assemble a data room grounded in real sources, and draft a grader to evaluate submissions with emphasis on reasoning quality.

The role demands domain expertise in mechanistic enzymology or structure-guided medicinal chemistry and a track record of defending rigorous analyses. Flexible, part-time to full-time hours are offered.

Qualifications

• PhD in a relevant field or equivalent industry track record.
• Ability to design rigorous, defensible research problems.
• Experience judging reasoning quality and robustness.

Responsibilities

• Design the challenge: identify the hidden basin and forcing chain.
• Build the world: assemble a data room from real, source-grounded data.
• Write the grader: create a grading document scoring memo substance.
• Validate it: run verification and calibration before submission.
• Revise it: own rework if changes are requested.

Skills

Mechanistic enzymology

Structure-guided design

Fragment-based discovery

Structure-based medicinal chemistry

Education

PhD or equivalent

Tools

Claude Code

Claude Max

Job description

Mercor in London is seeking experts to design a rigorous research problem framework for frontier AI in drug discovery. You will craft the prompt, assemble a data room grounded in real sources, and draft a grader to evaluate submissions with emphasis on reasoning quality.

The role demands domain expertise in mechanistic enzymology or structure-guided medicinal chemistry and a track record of defending rigorous analyses. Flexible, part-time to full-time hours are offered.