Drug Discovery Scientist - PhD - AI Trainer

Obsidian; Austin (TX); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Claude Max subscription reimbursed

Job summary

Obsidian is hiring to design an evaluation framework for frontier AI models in drug research. You will craft challenging, defensible research problems and build a data room anchored to real sources. You will also write a grading document that focuses on substance and reasoning quality, not style.

Work is in a browser-based studio with Claude Code; a Claude Max subscription is fully reimbursed. Commitment is 20–40 hours per week, with flexible scheduling and remote collaboration in mind.

Qualifications

• PhD or equivalent industry track record in relevant fields.
• Ability to pose problems that are rigorous and defendable.
• Comfort evaluating 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 with traceable values.
• Write the grader — create a grading document that scores a memo on substance and reasoning.
• Validate it — run verification and calibration before submission.
• Revise it — take ownership of revisions if requested by reviewers.

Skills

Mechanistic enzymology

Structure-guided design

Fragment-based discovery

Structure-based medicinal chemistry

Education

PhD or equivalent industry track record

Tools

Claude Code

Job description

About the role

This is an evaluation framework for frontier AI models in drug research and development. Domain experts write realistic research problems wrapped around messy evidence worlds. The model works offline in a sandbox with open-source scientific tooling, receiving incomplete, indirect and sometimes misleading data, and must reach a defensible conclusion. The answer is present in the evidence but never stated.

Your job is to build a research problem so realistic and well-constructed that the model has to genuinely reason to solve it — it can't pattern-match or look the answer up.

What you'll deliver

Three things per task: the prompt, the data room, and the grading document.

1. Design the challenge — identify the hidden basin and the forcing chain that makes one conclusion inevitable.

2. Build the world — assemble a data room from real, source‑grounded data. Every decisive value traces to a real source.

3. Write the grader — a grading document that scores a submitted memo on substance, not style or method.

4. Validate it — run verification and calibration before submission.

5. Revise it — you own the rework if a reviewer requests changes.

You are the final authority on every scientific and difficulty question in your task.

Who we're looking for

• Working expertise in mechanistic enzymology, structure‑guided peptide or antibody design, fragment‑based discovery, or structure‑based medicinal chemistry — PhD or equivalent industry track record.

• 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.

Commitment

Minimum 20 hours per week, up to 40.

Tooling

Work happens in a browser‑based studio plus Claude Code. A Claude Max subscription is required and is fully reimbursed.