Life Sciences Research & Python Specialist (MSc/PhD)

About the role

Gramian Consultancy, a boutique consultancy for IT professional services and engineering talent solutions, is looking for life sciences researchers with strong, hands-on Python skills to contribute to projects evaluating and improving advanced AI systems. The role combines scientific research expertise with practical software skills to create, solve and review challenging problems across biology and related fields. It is a contract engagement of about 15 hours per week, with flexible hours and days chosen by the candidate.

Key responsibilities

• Create and solve scientifically rigorous problems in your area of specialization
• Develop reproducible Python-based analyses, models, simulations and data-processing workflows
• Analyse 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 statistical and computational techniques to validate research findings
• Document methodologies, assumptions and solutions clearly and structurally

Required profile

• Master's or PhD in a relevant life sciences discipline (Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology or similar)
• Substantial research experience shown through publications, thesis work, computational projects or industry research
• Ability to independently write, understand, debug and validate Python code
• Experience with scientific or biological datasets and interpreting computational results
• Excellent written English and the ability to explain complex scientific concepts clearly

Required skills

• Strong practical Python programming, especially for scientific computing, data analysis, modelling or simulation
• Statistical and computational techniques for validating research findings

What we offer

• Flexible schedule, including weekends if preferred
• Output-based compensation paid per completed task