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Hiring now · posted today Tech Contract · Remote

Life Sciences Research Expert (Python)

$60–$120/hr

Published pay. The final rate depends on your test, experience and country.

Remote · Worldwide 100 openings Language: English Posted 21 Oct 2026

About this role

Role Title: Life Sciences Research 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 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

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.


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

PythonBiologyMedicineMaterialsNeuroscienceAstronomy

How applying works

  1. Click Apply now and enter your email.
  2. You go straight to the application. We email you a copy of this role and your link.
  3. Most platforms ask for a CV and a short skills test or AI interview in your field.
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What to know before you apply

Pay
At the published rate, 10 hours a week would be about $600–$1,200 and 20 hours about $1,200–$2,400 before tax. Hours depend on the project, so treat this as a ceiling, not a promise.
Openings
100 openings means this is a high-volume project. You are not competing for one seat: if you pass the test, there is room for you.
Location
Open worldwide in the countries the employer accepts. Payments usually go out through services like PayPal or Wise, so check one of them works in your country.
Credentials
The listing asks for a PhD, a medical degree. Put it in the first line of your profile: reviewers screen for it before anything else.
Timing
This listing is new today. Projects can close once they have enough people, so it is worth applying while it is open.
Test tips for developers
  • Run the code in your head (or for real) before judging it: correctness beats style.
  • Write the smallest failing test that proves a bug.
  • Explain fixes in two or three clear sentences. Written clarity is graded too.
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