Pharmacokinetics Expert - Systems Biology

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: 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.

Work arrangement
Yes