Computational Bioscience Expert (Python)

confidential; United States; Remote; USD 83,000 - 165,000; Full time

Job summary

Zekai is seeking a Computational Bioscience Expert (Python) for a fully remote, contractor role with flexible hours. You will work ~15 hours per week on Python-based data analysis, modeling, and reproducible workflows. The position is global, so you can contribute from anywhere with internet access.

The ideal candidate has strong Python skills and a life sciences background, with PhD/MD/masters and substantial research experience. Compensation is task-based and remote-friendly.

Qualifications

• PhD, MD, or master’s degree with substantial life sciences research experience.
• Strong publications, thesis work, computational projects, or equivalent accomplishments.
• Practical Python experience for scientific computing, data analysis, modeling, or simulation.
• Familiarity with NumPy, pandas, SciPy, Matplotlib, scikit-learn, Jupyter, or domain-specific libraries.

Responsibilities

• 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.

Skills

Python

Biology research

Data analysis

Computational biology

Education

PhD, MD, or master’s degree with substantial life sciences research

Tools

NumPy

pandas

SciPy

Matplotlib

scikit-learn

Jupyter

Job description

Role Title: Computational Bioscience Expert (Python)

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 partner is seeking experienced Computational Bioscience Expert 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

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.

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.

This is a 100% remote contract role, open to applicants worldwide in the countries the employer accepts.