Scientific Computing Specialist - Remote
About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Mathematics, Biology, Chemistry, and Physics Professional
Type: Freelance Compensation: $70–$120/hour Duration: 1–2 months Commitment: 15–25 hours/week, with flexibility up to 80 hours/week Role Responsibilities
- Identify and analyze high-impact research papers in Physics, Chemistry, Math, or Science that introduce novel, code-implementable methods.
- Break down high-level scientific problems into a series of logical, independently testable subproblems.
- Develop "Gold Standard" Python solutions for each subproblem and create corresponding unit tests to verify accuracy.
- Review peer prompts, golden solutions, and unit tests for accuracy, comprehensiveness, and difficulty.
- Work independently and asynchronously to meet deadlines while improving AI model performance.
Qualifications Must-Have
- Bachelor’s, Master’s, or PhD in a STEM field (Physics, Chemistry, Mathematics, Biochemistry, or related Computational Sciences).
- Strong experience in scientific computing libraries like NumPy, SciPy, Matplotlib, JAX, or domain-specific packages like RDKit or OpenMM.
- Ability to translate dense academic research into clear, structured problem statements for a technical audience.
- Proficiency with Git, including branch management and pull request workflows.
- Familiarity with testing frameworks like pytest and the ability to write robust validation scripts for mathematical/scientific code.
Start Date
- Immediate
Application Process (Takes 20–30 mins to complete)
- 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
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,
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Scientific Computing Specialist - Remote
About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Mathematics, Biology, Chemistry, and Physics Professional
Type: Freelance Compensation: $70–$120/hour Duration: 1–2 months Commitment: 15–25 hours/week, with flexibility up to 80 hours/week Role Responsibilities
- Identify and analyze high-impact research papers in Physics, Chemistry, Math, or Science that introduce novel, code-implementable methods.
- Break down high-level scientific problems into a series of logical, independently testable subproblems.
- Develop "Gold Standard" Python solutions for each subproblem and create corresponding unit tests to verify accuracy.
- Review peer prompts, golden solutions, and unit tests for accuracy, comprehensiveness, and difficulty.
- Work independently and asynchronously to meet deadlines while improving AI model performance.
Qualifications Must-Have
- Bachelor’s, Master’s, or PhD in a STEM field (Physics, Chemistry, Mathematics, Biochemistry, or related Computational Sciences).
- Strong experience in scientific computing libraries like NumPy, SciPy, Matplotlib, JAX, or domain-specific packages like RDKit or OpenMM.
- Ability to translate dense academic research into clear, structured problem statements for a technical audience.
- Proficiency with Git, including branch management and pull request workflows.
- Familiarity with testing frameworks like pytest and the ability to write robust validation scripts for mathematical/scientific code.
Start Date
- Immediate
Application Process (Takes 20–30 mins to complete)
- 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
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,