Remote Computational Scientist - PK & Systems Biology

Mercor; Paris; Sur place; EUR 84 308 568 - 120 440 812; Temps partiel

Résumé du poste

Mercor is seeking a STEM Computational Scientific Software & Evaluation Design expert to design computational problems for AI research. You will need graduate-level training in STEM, proficiency in scientific software libraries, and strong Python skills.

The role is remote, requiring 15–20 hours/week commitment. Responsibilities include calibrating tasks for AI models and collaborating with research teams to refine problem designs.

Experience with scientific pedagogy or computational reproducibility is a plus.

Qualifications

• Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
• Proficiency with at least one listed scientific software library.
• Strong Python programming skills for writing problem setups, oracle functions, and solution validators.
• Ability to work independently and iterate on problem designs based on calibration feedback.
• Comfortable in a Linux/terminal environment.

Responsabilités

• Design computational problems using scientific software libraries.
• Develop problems testing AI systems' abilities.
• Calibrate tasks against state-of-the-art AI models.
• Collaborate with AI research teams.
• Work independently to meet deadlines.

Connaissances

Graduate-level training in a relevant STEM domain

Proficiency in scientific software libraries

Strong Python programming skills

Ability to work independently

Comfortable in Linux/terminal environment

Formation

MS, PhD, or equivalent research experience

Outils

libRoadRunner

Tellurium

SBML-based tools

Description du poste

Mercor is seeking a STEM Computational Scientific Software & Evaluation Design expert to design computational problems for AI research. You will need graduate-level training in STEM, proficiency in scientific software libraries, and strong Python skills.

The role is remote, requiring 15–20 hours/week commitment. Responsibilities include calibrating tasks for AI models and collaborating with research teams to refine problem designs.

Experience with scientific pedagogy or computational reproducibility is a plus.