AI-Driven Drug Discovery Scientist (R&D Challenge)

Mercor; San Francisco (CA); In loco; USD 100.000 - 180.000; Part-time

Vantaggi offerti da questo lavoro

Claude Max reimbursement

Browser-based studio access

Descrizione del lavoro

Mercor is seeking a research-minded professional to design and implement an evaluation framework for frontier AI models in drug discovery. You will craft challenging prompts, assemble a data room grounded in real sources, and write graders to assess reasoning quality. The role involves iterative validation and revision based on reviewer feedback.

Applicants should have PhD or equivalent in mechanistic enzymology or structure-guided design, with 20–40 hours per week commitment in San Francisco.

Competenze

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

Mansioni

• Design the challenge by identifying the hidden basin and forcing chain.
• Build a data room from real, source-grounded data with traceable values.
• Write a grading document that scores memo substance over style.
• Validate the workflow by running calibration checks.
• Revise the framework per reviewer feedback.

Conoscenze

Mechanistic enzymology

Structure-guided design

Fragment-based discovery

Medicinal chemistry

Formazione

PhD or equivalent industry track record

Strumenti

Claude Code

Claude Max

Descrizione del lavoro

Mercor is seeking a research-minded professional to design and implement an evaluation framework for frontier AI models in drug discovery. You will craft challenging prompts, assemble a data room grounded in real sources, and write graders to assess reasoning quality. The role involves iterative validation and revision based on reviewer feedback.

Applicants should have PhD or equivalent in mechanistic enzymology or structure-guided design, with 20–40 hours per week commitment in San Francisco.