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: - 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. Originally posted on Himalayas