Computational Chemistry & Python Problem Designer

Mindrift; Wisconsin; Remote; USD 63,000 - 105,000; Full time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

This opportunity involves designing original computational chemistry problems, requiring Python programming, verifying solutions with numerical methods, and documenting clear problem statements with verified answers. Projects run ~10–20 hours per week during active phases.

Qualifications

• Must hold a degree in Chemistry or related field.
• 2+ years of professional experience: applied, research, or teaching.
• 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 reasonable timeframes (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 programming

Numerical validation

Chemistry knowledge

Strong English

Education

Degree in Chemistry or related field

Tools

MATLAB

R

C

SQL

NumPy

Pandas

SciPy

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

This opportunity involves designing original computational chemistry problems, requiring Python programming, verifying solutions with numerical methods, and documenting clear problem statements with verified answers. Projects run ~10–20 hours per week during active phases.