Drug Discovery Scientist — AI-Driven Problem Architect
Mercor
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. #J-18808-Ljbffr Mercor
Vacancy posted 3 days ago
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