Medicinal Chemist — AI-Driven Research Design

Mercor; San Francisco (CA); Remote; USD 90,000 - 130,000; Part time

Benefits offered by this job

Claude Max subscription reimbursed

Job summary

Mercor seeks a domain expert to design and oversee a rigorous evaluation framework for frontier AI models in drug research. You will build a realistic data room with source-grounded values, create a grading document, and validate the approach before submission. This role requires 20–40 hours per week in a browser-based studio environment.

You will work with Claude Code and Claude Max, enabling precise reasoning and reproducibility while maintaining high scientific standards across tasks.

Qualifications

• Working expertise in mechanistic enzymology, structure-guided peptide or antibody design, fragment-based discovery, or structure-based medicinal chemistry.
• You can pose a problem whose answer you can defend rigorously, but which a strong solver cannot shortcut.
• Comfortable judging reasoning quality, not just final answers.

Responsibilities

• 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.

Skills

Enzymology expertise

Structure-guided design

Medicinal chemistry

Education

PhD or equivalent

Tools

Claude Code

Claude Max

Job description

Mercor seeks a domain expert to design and oversee a rigorous evaluation framework for frontier AI models in drug research. You will build a realistic data room with source-grounded values, create a grading document, and validate the approach before submission. This role requires 20–40 hours per week in a browser-based studio environment.

You will work with Claude Code and Claude Max, enabling precise reasoning and reproducibility while maintaining high scientific standards across tasks.