Life Sciences Research Expert (Python)

You will help evaluate and improve AI systems by creating, solving, and reviewing difficult research problems in biology and related life sciences. You will also build reproducible computational work and check scientific results and explanations.

The work may cover medicine and biomedical science, computational biology, neuroscience, molecular and cellular biology, biotechnology, bioinformatics, genetics and genomics, ecology and evolutionary biology, biostatistics, or biological data science.

• Create and solve technically rigorous research problems in a relevant life sciences specialty.
• Build Python-based analyses, models, simulations, and data-processing workflows that others can reproduce.
• Review scientific solutions and code for correctness, clarity, completeness, and sound technical reasoning.
• Analyze scientific data, validate computational results, and find errors in explanations, calculations, and implementations.

This is a remote contractor role with a flexible schedule.

• Schedule: Approximately 15 hours per week on a flexible schedule.
• Language: Professional fluency in English.
• Education: A PhD, MD, or master's degree with substantial research experience in a relevant life sciences discipline, or equivalent research accomplishments.
• Research background: Evidence through publications, thesis work, computational projects, or industry research.
• Technical skills: Practical Python experience with scientific computing, data analysis, modeling, or simulation.
• Libraries: Familiarity with NumPy, pandas, SciPy, Matplotlib, scikit-learn, Jupyter, or comparable domain-specific libraries.