Project-Based Chemistry & Python Problem Designer

Mindrift; Arizona; On-site; USD 83,000 - 105,000; Part time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. Contribution is on a per-project basis, not permanent employment.

Contributors may design chemistry problems, implement Python solutions using NumPy/SciPy, and verify results. Projects are 10–20 hours per week, paid hourly at up to $76, with compensation varying by project scope and expertise.

Qualifications

• Degree in Chemistry or related fields.
• Python proficiency for numerical validation; MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain‑specific libraries, Stata or knowledge of any programming language can be equivalent.
• 2+ years of professional experience: applied, research, or teaching experience is applicable.
• Experience with numerical methods in chemistry.
• Familiarity with computational chemistry concepts and methods.
• Strong written English (C1+)

Responsibilities

• Design original computational chemistry problems that simulate real chemistry research workflows.
• Create problems requiring Python programming to solve using numpy, scipy, chemical libraries.
• Ensure problems are computationally intensive and cannot be solved manually within days/weeks.
• Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling.
• Base problems on real research challenges or practical applications from chemistry practice.
• Verify solutions using Python with standard computational chemistry approaches.
• Document problem statements clearly and provide verified correct answers

Skills

Python proficiency

Strong written English (C1+)

2+ years professional experience

Education

Degree in Chemistry or related fields

Tools

NumPy

SciPy

Pandas

MATLAB

R

SQL

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. Contribution is on a per-project basis, not permanent employment.

Contributors may design chemistry problems, implement Python solutions using NumPy/SciPy, and verify results. Projects are 10–20 hours per week, paid hourly at up to $76, with compensation varying by project scope and expertise.