Pharmacokinetics Systems Biology Expert
๐ข mercor ยท all mercor jobs
๐ Germany
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Posted 2026-08-15 ยท via Himalayas
๐ท 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
Apply on original site โAbout 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: 15โ20 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 20โ30 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