PK/Systems Biology Benchmark Designer

Mercor

Paris

Sur place

EUR 70 000 - 100 000

Plein temps

14 jours+

Recevez plus de réponses des employeurs

Envoyez un CV adapté au poste en quelques minutes.

Résumé du poste

Mercor is seeking a Computational Pharmacokinetics & Systems Biology Expert to design graduate-level problems that test AI systems on real scientific workflows, including running simulations and interpreting results. You will craft complex, multi-step tasks using PK/PD models and SBML-based tools, ensuring problems are both challenging and solvable with deep reasoning.

The role emphasizes hands-on experience with libRoadRunner, Tellurium, or SBML tools, along with Python scripting to build

Qualifications

Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
Proven proficiency with at least one of the listed scientific software libraries, shown through research publications, open-source contributions, or professional work.
Strong Python skills — you'll be writing problem setups, oracle functions, and solution validators.

Responsabilités

Design problems requiring skilled use of specialized scientific software.
Plan and guide AI models through multi-step workflows and strategic experiments.
Refine problems through testing against state-of-the-art AI models to hit target difficulty.