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 capabilities in scientific software .
- Develop problems requiring strategic planning and multi-step workflows using libRoadRunner , Tellurium , or SBML-based tools .
- Refine problems through iterative testing against state-of-the-art AI models .
- Collaborate with AI research teams to improve problem difficulty and relevance.
- Work independently 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 listed scientific software library .
- Strong Python skills for writing problem setups and validators.
- Ability to work independently and refine designs based on feedback.
- Available for 15–20 hours per 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 3 days ago
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