Life Sciences Research Specialist, Python
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Job Description
Life sciences researchers developing reproducible Python analyses and validating biological datasets. Evaluating scientific reasoning, code, and advanced AI systems for Gramian Consultancy.
Responsibilities:
- 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
- Contribute to projects focused on evaluating and improving advanced AI systems
- Combine scientific research expertise with practical software skills across biology and related disciplines
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
- Availability for approximately 15 hours per week
- Ability to work flexible hours and days, including weekends if preferred
Benefits:
- Flexible schedule—you choose your working hours and days, including weekends if preferred
- Approximately 15 hours per week
- Output-based compensation with payment per task that meets project specifications
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