About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Drug Discovery Scientist
Type: Contract
Compensation: $60-$90/hour
Location: Remote
Commitment: 20-40 hours/week
Role Responsibilities
- Design realistic research problems for AI models in drug research and development.
- Build a data room from real, source-grounded data with every decisive value tracing to a real source.
- Write a grading document that scores a submitted memo on substance, not style or method.
- Validate and run verification and calibration before submission.
- Revise and own the rework if a reviewer requests changes.
- Work independently and asynchronously to ensure high-quality deliverables.
Qualifications
Must-Have
- 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.
- Ability to pose a problem whose answer can be defended rigorously.
- Comfortable judging reasoning quality, not just final answers.
Compensation & Legal
- Hourly contractor
Application Process (Takes 20-30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
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Medicinal Chemist - Fully Remote Arbeitgeber: Mercor
Als Arbeitgeber bieten wir Ihnen die Möglichkeit, in einem innovativen Umfeld zu arbeiten, das sich auf die Entwicklung hochrealistischer Marketing-Simulationsumgebungen konzentriert. Unsere Unternehmenskultur fördert Kreativität und Zusammenarbeit, während wir gleichzeitig individuelle Wachstumschancen durch Schulungen und Zertifizierungen wie Rubric Academy oder Bootcamp anbieten. Bei uns haben Sie die Chance, Ihre praktischen Erfahrungen im Produktmarketing einzubringen und an spannenden Projekten zu arbeiten, die die Zukunft der KI-gestützten Marketinglösungen gestalten.
