What this opportunity involves

While each project involves unique tasks, contributors may:

• 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.

What we look for

This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:

• 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+).

How it works

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $29 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise.