Life Sciences Research Expert (Python) | Remote - Contract

About this role

Role Title: Life Sciences Research Expert (Python) Location: Global, fully remote Job Type: Contractor (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired We are seeking experienced life sciences researchers with strong, hands-on Python skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will apply your scientific expertise to create, solve, and review challenging research problems within biology and related fields.

You will use Python to analyze scientific data, develop reproducible solutions, validate computational results, and identify errors in technical reasoning or code. Required Skills Python Biology Medicine Materials Neuroscience Astronomy Areas of Expertise We are particularly interested in candidates with expertise in one or more of the following: Medicine and biomedical science Computational biology Neuroscience Molecular and cellular biology Biotechnology and bioinformatics Genetics and genomics Ecology and evolutionary biology Biostatistics or biological data science Etc.

Scope of Work Create and solve technically rigorous scientific problems within your area of expertise. Develop reproducible Python-based analyses, models, simulations, or data-processing workflows. Review scientific solutions and code for correctness, clarity, and completeness. Preferred Qualifications PhD, MD, or master’s degree with substantial research experience in a relevant life sciences discipline. Strong scientific or applied research background demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments.

Practical Python experience for scientific computing, data analysis, modeling, or simulation. Familiarity with tools such as NumPy, pandas, SciPy, Matplotlib, scikit-learn, Jupyter, or relevant domain-specific libraries. Process Apply to the role and complete the screening questions. Complete an AI interview of approximately 30 minutes. Complete the hiring manager review. Compensation Structure Compensation is output-based.