AI-Driven Drug Discovery Challenge Designer

SaidGig; New York (NY); Teletrabalho; USD 83 000 - 124 000; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

Remote work

Hourly engagement

Claude Max subscription reimbursement

Resumo da oferta

SaidGig is seeking a researcher to design rigorous, realistic drug research challenges for frontier AI models. Challenges run in an offline sandbox with open-source tools and evidence sets that include incomplete and misleading information, requiring genuine scientific reasoning rather than pattern matching.

You will deliver a research prompt, a data room, and a grading document for each task, and construct defensible hidden conclusions with traceable evidence sources.

Qualificações

• Requires PhD or equivalent industry track record.
• Ability to formulate problems with rigorously defensible answers.

Responsabilidades

• Create three deliverables for each task: a research prompt, a source-grounded data room, and a grading document.
• Design a challenge with a defensible hidden conclusion and the causal chain that makes that conclusion unavoidable.
• Assemble realistic evidence worlds using real data, ensuring every decisive value can be traced to a source.
• Write grading criteria that assess the scientific substance of a submitted memo.
• Complete verification and calibration before submitting each task.
• Own requested revisions and serve as the final authority on scientific accuracy and difficulty for assigned tasks.

Conhecimentos

Mechanistic enzymology

Structure-guided design

Fragment-based discovery

Structure-based medicinal chemistry

Formação académica

PhD or equivalent

Descrição da oferta de emprego

SaidGig is seeking a researcher to design rigorous, realistic drug research challenges for frontier AI models. Challenges run in an offline sandbox with open-source tools and evidence sets that include incomplete and misleading information, requiring genuine scientific reasoning rather than pattern matching.

You will deliver a research prompt, a data room, and a grading document for each task, and construct defensible hidden conclusions with traceable evidence sources.