About the position
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 systems using real scientific software. Develop problems requiring the skilled use of specialized software like libRoadRunner , Tellurium , or SBML-based tools . Evaluate and refine problems through testing loops against state-of-the-art AI models . Collaborate to ensure problems require strategic thinking and smart reasoning. Work independently to refine problem designs based on feedback. Operate comfortably 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 of the listed scientific software libraries. Strong Python skills. Ability to work independently and refine problem designs. Comfortable in a Linux/terminal environment . 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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