Life Sciences Python Researcher for AI Systems

Gramian Consulting Group; California; Hybrid; USD 27,000 - 41,000; Part time

Job summary

Gramian Consultancy seeks Life Sciences Researchers with strong Python programming skills to contribute to projects evaluating and improving advanced AI systems in biology and related disciplines.

You will develop reproducible Python analyses, process scientific datasets, validate results, and identify errors in reasoning, methodology, or code, aligning with high-quality computational research practices.

Qualifications

• Master's or PhD in life sciences.
• Strong research experience with publications, theses or equivalent.
• Strong practical Python programming skills for scientific computing.
• Ability to independently write, understand, debug, and validate Python code.
• Experience with biological datasets and interpreting computational results.
• Excellent written English and ability to communicate complex scientific concepts clearly.

Responsibilities

• Create and solve technically rigorous scientific problems within your area of specialization.
• Develop reproducible Python-based analyses, models, simulations, and data-processing workflows.
• Analyze and interpret biological or biomedical datasets using appropriate computational methods.
• Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility.
• Identify errors in scientific reasoning, computational methods, assumptions, and code implementation.
• Apply relevant statistical and computational techniques to validate research findings.
• Document methodologies, assumptions, and solutions in a clear and structured manner.

Skills

Python programming

Scientific computing

Data analysis

Debugging code

English writing

Education

Master's or PhD in life sciences

Tools

Python

Job description

Gramian Consultancy seeks Life Sciences Researchers with strong Python programming skills to contribute to projects evaluating and improving advanced AI systems in biology and related disciplines.

You will develop reproducible Python analyses, process scientific datasets, validate results, and identify errors in reasoning, methodology, or code, aligning with high-quality computational research practices.