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.

What it pays and takes

This is a remote contractor role with a flexible schedule.

• Pay: $60 to $120 per hour equivalent, paid per task that meets the project specifications.
• Schedule: Approximately 15 hours per week on a flexible schedule.
• Location: Remote and open to candidates in the countries listed for this role, including the United States, Canada, the United Kingdom, India, Japan, and other eligible locations.
• 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.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 7 screening questions.

About AI training work

AI training is the human work behind modern AI systems, including writing and reviewing examples, checking model answers, and evaluating code or research. OpenTrain helps people find these projects, build a profile, and apply to roles where their experience can improve how AI systems work.