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 for AI to solve using real scientific software.
- Develop problems requiring strategic planning and execution of multi-step workflows .
- Test and refine problems against state-of-the-art AI models to achieve target difficulty.
- Utilize libRoadRunner , Tellurium , or SBML-based tools for compartmental PK/PD modeling and systems biology simulations .
- Work independently to refine problem designs based on feedback.
- Collaborate asynchronously and maintain flexible hours .
Qualifications
Must-Have
- Graduate-level training in a relevant STEM field ( MS , PhD , or equivalent research experience).
- Proven proficiency with at least one listed scientific software library.
- Strong Python skills.
- Ability to work in a Linux/terminal environment with remote compute sandboxes.
- Available for at least 15–20 hours/week .
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:
- For any help or support, reach out to: Show email
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Vacancy posted 25 days ago
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