Pharmacokinetics Systems Biology Problem Designer

Mercor

Los Angeles (CA)

On-site

USD 100,000 - 140,000

Full time

14 days+

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Job summary

Mercor is seeking a Computational Pharmacokinetics & Systems Biology Expert to design graduate-level computational problems using real scientific workflows. You will work with libRoadRunner, Tellurium, or SBML-based tools to create problems that require strategic planning of queries and experiments and evaluate AI models against research-grade simulations.

The role emphasizes deep domain expertise, hands-on library usage, and the ability to craft problems where smart reasoning, not just raw

Qualifications

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one listed scientific software library (libRoadRunner, Tellurium, SBML-based tools).
  • Strong Python skills for writing problem setups, oracle functions, and solution validators.
  • Ability to work independently and refine problem designs based on feedback.
  • Comfortable working in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours per week.

Responsibilities

  • Design problems requiring skilled use of specialized scientific software and multi-step workflows.
  • Test problems against state-of-the-art AI models and refine them to hit target difficulty.

Skills

Python
Linux/terminal
Independent work

Education

Graduate-level training in STEM (MS/PhD)

Tools

libRoadRunner
Tellurium
SBML-based tools

Job description

Mercor is seeking a Computational Pharmacokinetics & Systems Biology Expert to design graduate-level computational problems using real scientific workflows. You will work with libRoadRunner, Tellurium, or SBML-based tools to create problems that require strategic planning of queries and experiments and evaluate AI models against research-grade simulations.

The role emphasizes deep domain expertise, hands-on library usage, and the ability to craft problems where smart reasoning, not just raw

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