About this position
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: Computational Pharmacokinetics & Systems Biology Expert
Type: Contract
Compensation: $70–$85/hour
Location: Remote
Commitment: 15–20 hours/week
Role Responsibilities
- Design challenging computational problems to test AI systems using real scientific software.
- Develop problems requiring the skilled use of specialized software like libRoadRunner, Tellurium, or SBML-based tools.
- Evaluate and refine problems through testing loops against state-of-the-art AI models.
- Collaborate to ensure problems require strategic thinking and smart reasoning.
- Work independently to refine problem designs based on feedback.
- Operate comfortably in a Linux/terminal environment with remote compute sandboxes.
Qualifications
Must-Have
- Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
- Proven proficiency with at least one of the listed scientific software libraries.
- Strong Python skills.
- Ability to work independently and refine problem designs.
- Comfortable in a Linux/terminal environment.
Preferred
- Experience across multiple listed domains or tools.
- Familiarity with benchmark or evaluation design.
- Background in scientific teaching or exam/problem-set design.
- Experience with computational reproducibility and containerized environments.
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: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Location and commute
San Francisco, CA .
Plan your route with Google Maps. Travel times and transportation options vary; confirm the work location with the employer before commuting.
How to apply
Review the vacancy and complete the application on the employer or recruitment partner’s website. Requisition ID: WJ-3056588715.