
STEM Computational Scientific Software & Evaluation Design - Pharmacokinetics & Systems Biology
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a STEM Computational Scientific Software & Evaluation Design - Pharmacokinetics & Systems Biology based in India.
This role focuses on designing and evaluating advanced computational problems in pharmacokinetics and systems biology, contributing to the development of high-quality AI benchmarking systems for scientific reasoning. You will work at the intersection of scientific research and AI evaluation, building graduate-level problem sets grounded in real-world modeling workflows. The position involves using domain-specific simulation tools and scientific software to construct and test complex scenarios. You will iteratively refine tasks based on model performance, ensuring they accurately measure deep reasoning ability. The work is highly analytical, research-driven, and requires both scientific rigor and creativity in problem design. It is fully remote, flexible, and suited for experts who enjoy building challenging computational problems that push the limits of AI systems.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a STEM Computational Scientific Software & Evaluation Design - Pharmacokinetics & Systems Biology based in India.
This role focuses on designing and evaluating advanced computational problems in pharmacokinetics and systems biology, contributing to the development of high-quality AI benchmarking systems for scientific reasoning. You will work at the intersection of scientific research and AI evaluation, building graduate-level problem sets grounded in real-world modeling workflows. The position involves using domain-specific simulation tools and scientific software to construct and test complex scenarios. You will iteratively refine tasks based on model performance, ensuring they accurately measure deep reasoning ability. The work is highly analytical, research-driven, and requires both scientific rigor and creativity in problem design. It is fully remote, flexible, and suited for experts who enjoy building challenging computational problems that push the limits of AI systems.