Job at a glance
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: For any help or support, reach out to: PS: Our team reviews applications daily.
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