Life Sciences Research & Python Specialist (MSc/PhD)
About The Position
Gramian Consultancy is seeking life sciences researchers with strong, hands-on Python programming 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 disciplines. The specialist will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. The posting particularly welcomes Master’s degree holders with strong research and computational experience, and PhD holders with practical experience in software engineering, data science, computational research, or other industry data-focused roles. Candidates should be able to independently write, understand, debug, and validate code. The position is open to candidates in the US, California, Australia, New Zealand, the UK (native English speakers), and Southeast Asia/APAC. The commitment is approximately 15 hours per week, with flexible scheduling. Compensation is output-based, with payment per task that meets project specifications; minimum submission requirements apply, and time per task may vary.
Requirements
- A Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field.
- Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments.
- Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation.
- Ability to independently write, understand, debug, and validate Python code.
- Experience working with scientific or biological datasets and interpreting computational results.
- Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions.
- Excellent written English and the ability to communicate complex scientific concepts clearly.
Responsibilities
- Create and solve technically rigorous scientific problems within the relevant 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 clearly and in a structured manner.
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What This Job Offers
Job Type
Part-time
