Pharmacokinetics Expert - Systems Biology

Role Summary

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 .

Requirements

• 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:

Additional Information

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.