Life Sciences Research Expert (Python) | Remote - Contract

Xperteez Technology • ,

12d • $60 - $120 • Remote

About The Position

This contractor role contributes to projects focused on evaluating and improving advanced AI systems. The expert applies scientific expertise to create, solve, and review challenging research problems in biology and related fields. The work involves using Python to analyze scientific data, develop reproducible solutions, validate computational results, and identify errors in technical reasoning or code.

The work is fully remote and approximately 15 hours per week, with a flexible schedule. Experts choose their hours and days, including weekends if desired. Compensation is output-based, with payment per task that meets project specifications; the time required for each task may vary based on experience and workflow. Minimum submission requirements apply. Selected candidates are expected to begin their first task within 24–48 hours of completing onboarding.

Requirements

• Python skills.
• Expertise in biology or a related scientific field.
• Practical Python experience in scientific computing, data analysis, modeling, or simulation.

Nice To Haves

• A PhD, MD, or master’s degree with substantial research experience in a relevant life sciences discipline.
• A strong scientific or applied research background demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments.
• Familiarity with NumPy, pandas, SciPy, Matplotlib, scikit-learn, Jupyter, or relevant domain-specific libraries.
• Expertise in one or more of medicine and biomedical science, computational biology, neuroscience, molecular and cellular biology, biotechnology and bioinformatics, genetics and genomics, ecology and evolutionary biology, or biostatistics and biological data science.

Responsibilities

• Create and solve technically rigorous scientific problems within an area of expertise.
• Develop reproducible Python-based analyses, models, simulations, or data-processing workflows.
• Review scientific solutions and code for correctness, clarity, and completeness.
• Analyze scientific data, validate computational results, and identify errors in technical reasoning or code.

What This Job Offers

• Job Type: Part-time
• Career Level: Senior
• Education Level: No Education Listed