Pharmacokinetics & Systems Biology Problem Designer

Mercor

Greater London

On-site

GBP 55,000 - 75,000

Full time

14 days+

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Job summary

Mercor is seeking a Computational Pharmacokinetics & Systems Biology Expert to design graduate-level problems that test AI systems against real scientific workflows. You'll craft challenging, multi-step tasks using PK/PD modeling tools and SBML-based libraries, running simulations and interpreting results.

This role emphasizes puzzle-style design, independent work, and reproducible workflows in Linux environments, with at least 15–20 hours weekly.

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, shown through publications, open-source contributions, or professional work.
Strong Python skills — you will write problem setups, oracle functions, and solution validators.
Ability to work independently and refine problem designs based on feedback.

Responsibilities

Create problems that require 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.
Design evaluation tasks where the AI must plan queries and experiments to uncover hidden information.