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Strategic Project Lead, Coding/SWE- Remote- Full Time
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Xperteez Technology

Life Sciences Research Expert (Python) | Remote - Contract

Remote, United States

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Job details

Working hours: 15 hours per week
Posting language: English

Original 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

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. 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.

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More about this job

Skills

Research
Python
Biomedical science
Biotechnology
Evolutionary biology
Process data
Data analysis
NumPy
pandas
SciPy
Scikit-learn
Jupyter
Workflow

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