
Life Sciences Research, Python Specialist
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Singapore.
• Integrate scientific research expertise with practical software capabilities to support projects aimed at assessing and enhancing advanced AI systems.
• Formulate and address technically demanding scientific challenges within the area of specialization.
• Create reproducible analyses, models, simulations, and data-processing workflows utilizing Python.
• Examine and interpret biological or biomedical datasets employing suitable computational techniques.
• Evaluate scientific solutions and Python code for precision, clarity, comprehensiveness, and reproducibility.
• Detect inaccuracies in scientific reasoning, computational techniques, assumptions, and code execution.
• Employ pertinent statistical and computational methods to verify research outcomes.
• Document methodologies, assumptions, and solutions in a clear and organized fashion.
• Dedicate approximately 15 hours per week under an output-based, per-task compensation structure.
• Master's or PhD in a relevant life sciences field, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related discipline.
• Significant research experience evidenced by publications, thesis work, computational projects, industry research, or similar achievements.
• Strong practical skills in Python programming, especially for scientific computing, data analysis, modeling, or simulation.
• Capability to independently write, comprehend, debug, and validate Python code.
• Experience with scientific or biological datasets and interpreting computational outcomes.
• Strong analytical ability and the skill to assess scientific methods and technical conclusions.
• Exceptional written English skills with the capacity to convey complex scientific concepts clearly.
• Native English speaker preferred for the specified locations: US, CA, AUS, NZ, UK.
• Opportunity to work on cutting-edge AI systems.
• Flexible working hours tailored to your schedule.
• Collaborate with a team of experts in a dynamic research environment.
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