Computational Chemistry & Python Specialist — Project-Based

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Kuwait City

On-site

KWD 11,000 - 15,000

Part time

14 days+
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Job summary

Mindrift connects specialists with project-based AI opportunities focusing on testing, evaluating, and improving AI systems. This Mindrift project focuses on computational chemistry tasks and Python-based validation within a flexible, part-time framework.

Contributors design chemistry-related problems, implement Python solutions (NumPy/SciPy), and verify correct answers. Projects are non-permanent and time-bound, with variable workload based on active phases.

Qualifications

  • Degree in chemistry or related field.
  • 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.
  • Python proficiency for numerical validation.

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 methods
Computational chemistry
Chemistry knowledge

Education

Degree in chemistry or related field

Tools

NumPy
SciPy
Pandas
MATLAB
R
SQL

Job description

Mindrift connects specialists with project-based AI opportunities focusing on testing, evaluating, and improving AI systems. This Mindrift project focuses on computational chemistry tasks and Python-based validation within a flexible, part-time framework.

Contributors design chemistry-related problems, implement Python solutions (NumPy/SciPy), and verify correct answers. Projects are non-permanent and time-bound, with variable workload based on active phases.

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