Pharmacokinetics Systems Biology Expert

๐Ÿข mercor ยท all mercor jobs
๐Ÿ“ Germany
๐Ÿ“… Posted 2026-08-15 ยท via Himalayas
๐Ÿท Computational-Scientific-Software,Evaluation-Design,Pharmacokinetics,Systems-Biology,Scientific-Software-Development,Pharmacokinetic-Scientist,Pharmacokinetic-Modeler,Senior-Pharmacokinetics-Scientist,Pharmacometrics-Scientist,Pharmacokinetics-Research,Quantitative-Pharmacology,Pharmacokinetics-(PK),Quantitative-Clinical-Pharmacology
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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: STEM Computational Scientific Software & Evaluation Design - Pharmacokinetics & Systems Biology Type: Contract Compensation: $70โ€“$100/hour Location: Remote Commitment: 15โ€“20 hours/week Role Responsibilities - Design challenging computational problems using domain-specific scientific software libraries like libRoadRunner , Tellurium , or SBML-based tools . - Develop problems that test AI systems' ability to implement complex multi-step scientific workflows and strategic reasoning. - Calibrate tasks against state-of-the-art AI models, refining problem design to achieve target difficulty. - Collaborate with AI research teams to improve model outputs and training data quality. - Work independently and asynchronously to meet deadlines and improve AI model performance. Qualifications Must-Have - Graduate-level training in a relevant STEM domain ( MS, PhD, or equivalent research experience ). - Proficiency with at least one listed scientific software library, evidenced by research publications, open-source contributions, or professional work. - Strong Python programming skills for writing problem setups, oracle functions, and solution validators. - Ability to work independently and iterate on problem designs based on calibration feedback. - Comfortable in a Linux/terminal environment with remote compute sandboxes. Preferred - Experience across multiple listed domains or tools. - Familiarity with benchmark or evaluation design. - Background in scientific pedagogy or exam/problem-set design. - Experience with computational reproducibility and containerized environments. Application Process (Takes 20โ€“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

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