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Life Sciences Research Expert (Python) | Remote - Contract

Xperteez Technology
Contract type
Freelance
Work mode
Remote · Worldwide
Experience
3 years

Job description

Contractor role for experienced life sciences researchers with hands-on Python skills to create, solve, and review rigorous scientific problems used to evaluate and improve advanced AI systems.

At a glance

Employment
Contract · Independent contractor
Work mode
Remote · Worldwide

What you'll do

  • 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
  • Use Python to analyze scientific data, develop reproducible solutions, validate computational results, and identify errors in technical reasoning or code

What we're looking for

  • Python
  • Biology
  • Medicine
  • Materials
  • Neuroscience
  • Astronomy
  • Expertise in one or more life sciences areas such as 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

Nice to have

  • 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

How to get hired

  1. 1Apply to the role and complete the screening questions
  2. 2Complete an AI interview of approximately 30 minutes
  3. 3Complete the hiring manager review

Apply

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About Xperteez Technology

Key facts

  • Roles are typically filled within 48 hours
  • Selected experts are expected to start their first task within 24–48 hours of completing onboarding
  • Compensation is output-based, paid per task that meets the project specifications
  • Minimum submission requirements apply