Drug Discovery Scientist — AI Evaluation Architect

Obsidian; San Francisco (CA); On-site; USD 90,000 - 150,000; Part time

Job summary

Obsidian is seeking a part-time researcher to design evaluation challenges for frontier AI in drug discovery. You will build data rooms grounded in real sources, craft grading rubrics, and validate approaches to ensure defensible conclusions.

The role emphasizes rigorous reasoning quality and the ability to set up complex, traceable datasets. Minimum 20 hours per week with flexible scheduling, in a browser-based studio using Claude Code/Claude Max.

Qualifications

• PhD or equivalent industry track record in mechanistic enzymology or structure-based medicinal chemistry.
• Ability to design defensible research problems that resist shortcutting.
• Experience judging reasoning quality, not just final answers.

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 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

Fragment-based discovery

Medicinal chemistry

Education

PhD or equivalent

Tools

Claude Code

Claude Max

Job description

Obsidian is seeking a part-time researcher to design evaluation challenges for frontier AI in drug discovery. You will build data rooms grounded in real sources, craft grading rubrics, and validate approaches to ensure defensible conclusions.

The role emphasizes rigorous reasoning quality and the ability to set up complex, traceable datasets. Minimum 20 hours per week with flexible scheduling, in a browser-based studio using Claude Code/Claude Max.