Life Sciences Research, Python Specialist
Posted 6hrs ago
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Job Description
Life sciences researcher using Python to evaluate advanced AI systems at Gramian Consultancy. Developing reproducible analyses and validating biological datasets, scientific reasoning, and code.
Responsibilities:
- Combine scientific research expertise with practical software skills to contribute to projects focused on evaluating and improving advanced AI systems.
- Create and solve technically rigorous scientific problems within the 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.
- Work approximately 15 hours per week on an output-based, per-task compensation model.
Requirements:
- 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.
- Native English speaker for the listed US, CA, AUS, NZ, UK locations.


















