Role OverviewThe role involves designing computational problems to test AI capabilities in scientific software, developing problems requiring strategic planning and multi-step workflows, and collaborating with AI research teams to improve problem difficulty and relevance.
What You Will Do
Design challenging computational problems, develop problems using libRoadRunner, Tellurium, or SBML-based tools, refine problems through iterative testing, and collaborate with AI research teams.
Why It Might Be a Fit
The ideal candidate has a graduate-level training in a relevant STEM field, proven proficiency with scientific software libraries, strong Python skills, and ability to work independently.
Requirements
- Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience)
- Proven proficiency with at least one listed scientific software library
- Strong Python skills for writing problem setups and validators
- Ability to work independently and refine designs based on feedback
Benefits
- Hourly compensation of $70–$85/hour
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