Drug Discovery Scientist - PhD

Obsidian; Berlin; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Benefits dieser Stelle

Claude Max subscription reimbursement

Zusammenfassung

Obsidian seeks a researcher to craft rigorous, self-contained evaluation challenges for frontier AI models in drug discovery. You will design problems that force robust reasoning, assemble source-grounded data rooms, and write grading criteria focused on substance over method.

You will validate and revise iteratively within a browser-based studio environment, with Claude Code/Max tooling. Commitment ranges 20–40 hours weekly, requiring deep expertise in mechanistic enzymology or related fields,

Qualifikationen

• PhD or equivalent track record in mechanistic enzymology, structure-guided peptide/antibody design, fragment-based discovery, or structure-based medicinal chemistry.
• Ability to pose defensible problems whose solution requires rigorous reasoning beyond pattern matching.
• Experience judging reasoning quality, not just final answers.

Aufgaben

• Design the challenge — identify the hidden basin and forcing chain that makes one conclusion inevitable.
• Build the world — assemble a data room from grounded data with traceable sources.
• Write the grader — create a scoring document focused on substance.
• Validate it — perform verification and calibration before submission.
• Revise it — be prepared to rework on reviewer request.

Kenntnisse

Mechanistic enzymology

Structure-guided design

Fragment-based discovery

Medicinal chemistry

Ausbildung

PhD or equivalent industry track record

Tools

Claude Code

Claude Max

Jobbeschreibung

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

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.