Medicinal Chemist - AI-Driven Research Challenge Architect

Mercor; Paris; À distance; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Mercor is seeking a candidate to design and curate a realistic evaluation framework for frontier AI models in drug research. You will craft challenging problems, ground them in real data, and ensure every decisive value traces to a credible source.

You will build the data room, write the grader, validate results, and own revisions. Minimum 20 hours per week up to 40, in a browser-based studio with Claude Code (Claude Max subscription reimbursed).

Qualifications

• Expertise in mechanistic enzymology or structure-based design.
• PhD or equivalent industry track record.
• Ability to pose defendable problems that resist shortcuts.
• Experience judging reasoning quality.

Responsabilités

• Design the challenge — identify the hidden basin and the forcing chain that makes one conclusion inevitable.
• Build the world — assemble a data room from real, source-grounded data. Every decisive value traces to a real source.
• Write the grader — a grading document that scores a submitted memo on substance, not style or method.
• Validate it — run verification and calibration before submission.
• Revise it — you own the rework if a reviewer requests changes.

Connaissances

Enzymology

Structure-guided design

Fragment-based discovery

Medicinal chemistry

Formation

PhD or equivalent industry track record

Outils

Claude Code

Claude Max

Description du poste

Mercor is seeking a candidate to design and curate a realistic evaluation framework for frontier AI models in drug research. You will craft challenging problems, ground them in real data, and ensure every decisive value traces to a credible source.

You will build the data room, write the grader, validate results, and own revisions. Minimum 20 hours per week up to 40, in a browser-based studio with Claude Code (Claude Max subscription reimbursed).