Life Sciences Research Expert (Python)

Remotebridge; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

Remotebridge is seeking experienced life sciences researchers with strong Python skills to contribute to AI evaluation projects. You will apply your scientific expertise to biology-related problems, analyze data with Python, develop reproducible workflows, and review solutions for correctness.

This is a fully remote, hourly contractor role (~15 hours/week) with flexible scheduling; start immediately.

Qualifications

• PhD/MD/MSc with substantial life sciences research experience.
• Strong research background with publications or theses.
• Practical Python experience for scientific computing.
• Experience with data analysis and modeling.
• Familiarity with domain libraries: NumPy, pandas, SciPy, Matplotlib, scikit-learn.

Responsibilities

• Create and solve technically rigorous scientific problems within your area of expertise.
• Develop Python-based analyses, models, simulations, or data-processing workflows.
• Review scientific solutions and code for correctness, clarity, and completeness.

Skills

Python

Computational biology

Data analysis

Research experience

Education

PhD or MD or MSc

Tools

NumPy

pandas

SciPy

Matplotlib

scikit-learn

Jupyter

Job description

Pay: $60–$120/hour

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

Our team is 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.

Areas of Expertise

• 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.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum submission requirements apply..

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.