Pharmacokinetics Expert - Systems Biology - AI Trainer

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: 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.

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