Computational Pharmacokinetics & Systems Biology Expert | $70-$85/hr Remote
Overview
You will design graduate-level computational challenges that test whether advanced AI systems can use real scientific software to solve research problems. The work focuses on pharmacokinetics and systems biology, where you will create original problems, run them against state-of-the-art AI models, and refine them until the difficulty is just right. You will work hands-on with tools like libRoadRunner and Tellurium to build problem setups, oracle functions, and validators. This is a remote, hourly contract role for someone with deep expertise in computational modeling and a puzzle-designer mindset.
What You'll Do5
- 1Design original, graduate-level computational problems that require skilled use of scientific software like libRoadRunner and Tellurium.
- 2Build problems that test exact computation from well-defined setups, forcing the AI to handle complex multi-step workflows correctly.
- 3Create open-ended challenges where the AI must plan a series of queries or experiments to reveal information that is not directly visible.
- 4Test each problem against advanced AI models and adjust its difficulty based on how the models perform.
- 5Write Python code for problem setups, oracle functions, and validators to ensure each task is solvable and correctly graded.
Requirements5
- 1Graduate-level training in a relevant STEM field, such as an MS, PhD, or equivalent research experience.
- 2Hands-on proficiency with at least one scientific software library from the listed domains, demonstrated through publications, open-source work, or professional projects.
- 3Strong Python programming skills, since you will write problem setups, oracle functions, and solution validators.
- 4Comfort working independently in a Linux terminal environment and using remote compute sandboxes.
- 5Availability to dedicate 15 to 20 hours per week to this project.
Who Should Apply
Apply if you have deep, hands-on experience with computational modeling in pharmacokinetics or systems biology and enjoy designing problems that reward careful reasoning over raw computation. You should be comfortable writing Python code to set up scientific simulations, testing your problems against AI systems, and iterating on difficulty. A background in teaching, problem-set design, or benchmark evaluation is a plus. You work well independently and can commit 15 to 20 hours per week to a remote, project-based engagement.
Salary Insight
The pay is $70 to $85 per hour.
Location
Required Skills
Application Tip
When you apply, include a one-page write-up of a specific research problem you solved with libRoadRunner or Tellurium, and explain the edge cases you encountered.
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