STEM Python Experts (Math, Physics, Chemistry, Biology)
**Mercor is hiring experienced Mathematics, Biology, Chemistry, and Physics professionals** to support a variety of high-impact research collaborations with leading AI labs. Freelancers will help improve AI systems through work on code validation, prompt refinement, algorithmic evaluation, and model benchmarking.
This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems.
• *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.
• *Ideal Qualifications**
- **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.
• *Project Timeline**
- Start Date: Immediate
- Duration: 1–2 months
- Commitment: Part-time (15–25 hours/week, with flexibility up to 80 hours/week)
• *Application & Onboarding Process**
- 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!**
This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems.
• *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.
• *Ideal Qualifications**
- **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.
• *Project Timeline**
- Start Date: Immediate
- Duration: 1–2 months
- Commitment: Part-time (15–25 hours/week, with flexibility up to 80 hours/week)
• *Application & Onboarding Process**
- 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!**