Job Description

Join a dynamic team of experienced professionals in Mathematics, Biology, Chemistry, and Physics to support high-impact research collaborations with leading AI labs. This role offers a unique opportunity to apply your engineering expertise to shape the next generation of intelligent systems through code validation, prompt refinement, algorithmic evaluation, and model benchmarking. Key Responsibilities

• Scientific Research Translation: Identify and analyze high-impact research papers in Physics, Chemistry, Math, or Science that introduce novel, code-implementable methods.
• Complex Problem Decomposition: Break down high-level scientific problems into a series of logical, independently testable subproblems.
• Golden Solution Authoring: Develop "Gold Standard" Python solutions for each subproblem and create corresponding unit tests to verify accuracy.
• Quality Control and Review: Review peer prompts, golden solutions, and unit tests for accuracy, comprehensiveness, and difficulty.

• Degree: Bachelor’s, Master’s, or PhD in a STEM field (Physics, Chemistry, Mathematics, Biochemistry, or related Computational Sciences).
• Expert Python Proficiency: Strong experience in scientific computing libraries (e.g., NumPy, SciPy, Matplotlib, JAX, or domain-specific packages like RDKit or OpenMM).
• Technical Writing: Ability to translate dense academic research into clear, structured problem statements for a technical audience.
• Version Control: Proficiency with Git, including branch management and pull request workflows.
• Unit Testing Experience: Familiarity with testing frameworks (like `pytest`) and the ability to write robust validation scripts for mathematical/scientific code.

• Start Date: Immediate
• Commitment: Part-time (15–25 hours/week, with flexibility up to 80 hours/week)

• Upload your resume
• AI interview: 3 short, 15-minute conversational sessions to understand your background, experience, and interest in the role
• Follow-up communication within a few days with next steps and onboarding details

Apply today and leverage your data science expertise to help build the future of AI-driven systems!

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