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Responsibilities
Position: Computational Pharmacokinetics & Systems Biology ExpertType: ContractRole ResponsibilitiesDesign 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.QualificationsMust-HaveGraduate-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.PreferredExperience 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 resumeAI interview based on your resumeSubmit formAbout the jobMercor 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.Resources & SupportFor details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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