Computational Chemistry Problems Engineer (Python)

Mindrift; Colorado; Remote; USD 14,000 - 28,000; Part time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems.

You will design original computational chemistry problems, require Python programming (NumPy, SciPy), verify solutions, and document clear problem statements with verified answers; tasks are 10–20 hours per week during active phases, with compensation up to $76 per hour depending on level and pace.

Qualifications

• Degree in Chemistry or related fields.
• Proficiency in Python for numerical validation (NumPy/SciPy, etc.).
• 2+ years of professional experience in applied, research, or teaching roles.

Responsibilities

• Design original computational chemistry problems simulating real workflows.
• Create problems requiring Python programming to solve.
• Ensure problems are computationally intensive and time-consuming to solve manually.
• Develop problems demanding non-trivial reasoning in physical/quantum chemistry and molecular modeling.
• Base problems on real research challenges or practical chemistry applications.
• Verify solutions using Python with standard approaches.
• Document problem statements clearly and provide verified correct answers.

Skills

Python proficiency

Numerical methods

Computational chemistry

English proficiency

Education

Degree in Chemistry or related fields

Tools

MATLAB

R

C

SQL

Numpy

Pandas

SciPy

Stata

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems.

You will design original computational chemistry problems, require Python programming (NumPy, SciPy), verify solutions, and document clear problem statements with verified answers; tasks are 10–20 hours per week during active phases, with compensation up to $76 per hour depending on level and pace.