Life Sciences Research Expert (Python) | Remote - Contract

Xperteez Technology Pvt Ltd; United States; Remote; USD 55,000 - 96,000; Part time

Job summary

Xperteez Technology Pvt Ltd is seeking Life Sciences Research Experts with strong Python skills to contribute to AI-focused biology projects. You will analyze data, build reproducible workflows, and validate results across biology-related domains in a fully remote, contractor setup.

The role offers flexible scheduling (including weekends), with ~15 hours per week. Ideal candidates have advanced degrees and hands-on Python experience in scientific computing.

Qualifications

• PhD/MD/Master with substantial life sciences research
• Strong scientific or applied research background with publications or projects
• Practical Python experience for scientific computing and data analysis
• Familiarity with domain-specific libraries and tools

Responsibilities

• Create and solve technically rigorous scientific problems in your field 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

Medicine

Materials

Neuroscience

Astronomy

Education

PhD, MD, or Master’s with substantial research

Tools

NumPy

pandas

SciPy

Matplotlib

scikit-learn

Jupyter

Job description

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

• 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.

Originally posted on Himalayas