Medicinal Chemist: AI Drug-Design Problem Architect

Obsidian; San Francisco (CA); Remote; USD 56,000 - 89,000; Part time

Job summary

Obsidian is seeking a researcher to design and curate rigorous AI research prompts for frontier problems in drug discovery. You will build a data room from real sources and define a grading framework to assess solutions with emphasis on reasoning quality, not just outcomes.

The role requires deep expertise in mechanistic enzymology or related fields, and you will work in a browser-based studio with Claude Code. Minimum 20 hours per week, up to 40, with flexible remote arrangements.

Qualifications

• PhD or equivalent industry track record in relevant field.
• Expertise in enzymology, structure-guided design, or fragment-based discovery.
• Ability to justify problem design and judge reasoning quality.

Responsibilities

• Design the challenge — identify the hidden basin and 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 memo on substance, not style.
• Validate it — run verification and calibration before submission.
• Revise it — you own the rework if a reviewer requests changes.

Skills

Mechanistic enzymology

Structure-guided design

Fragment-based discovery

Medicinal chemistry

Education

PhD or equivalent industry track record

Tools

Claude Code

Claude Max

Job description

Obsidian is seeking a researcher to design and curate rigorous AI research prompts for frontier problems in drug discovery. You will build a data room from real sources and define a grading framework to assess solutions with emphasis on reasoning quality, not just outcomes.

The role requires deep expertise in mechanistic enzymology or related fields, and you will work in a browser-based studio with Claude Code. Minimum 20 hours per week, up to 40, with flexible remote arrangements.