Medicinal Chemist: AI-Driven Drug Discovery Challenges

Mercor; New York (NY); Remote; USD 90,000 - 130,000; Part time

Benefits offered by this job

Claude Code access

Claude Max subscription reimbursed

Job summary

Mercor is seeking a researcher to design evaluation frameworks for frontier AI models applied to drug discovery. You will craft challenging problems, assemble data rooms grounded in real sources, and write graders to appraise solutions on substance rather than style.

The role requires deep domain expertise in enzymology, medicinal chemistry, and structure-based design, with commitment of 20–40 hours per week in a browser-based studio environment using Claude Code/Claude Max.

Qualifications

• PhD or equivalent track record in a relevant field.
• Ability to defend complex problems with rigorous reasoning.
• Experience judging reasoning quality and experiment design.

Responsibilities

• Design the challenge by identifying the hidden basin and forcing chain.
• Build a data room with real, source-grounded data for decisive values.
• Write a grading document that scores memos on substance.
• Validate the framework through verification and calibration.
• Revise the framework as requested by reviewers.

Skills

Mechanistic enzymology

Structure-guided design

Antibody design

Fragment-based discovery

Medicinal chemistry

Education

PhD or equivalent

Tools

Claude Code

Claude Max

Job description

Mercor is seeking a researcher to design evaluation frameworks for frontier AI models applied to drug discovery. You will craft challenging problems, assemble data rooms grounded in real sources, and write graders to appraise solutions on substance rather than style.

The role requires deep domain expertise in enzymology, medicinal chemistry, and structure-based design, with commitment of 20–40 hours per week in a browser-based studio environment using Claude Code/Claude Max.