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Computational Bioscience Expert (Python)

$60 - $120 per hour
Temporary

micro1

Life scientists with strong Python skills create, solve and review hard research problems in fields such as biomedicine, computational biology, neuroscience, genomics or ecology, to evaluate and improve AI systems. They build reproducible analyses, models and simulations and check others' solutions and code for errors. Pay is $60 to $120 per hour, paid per task that meets specifications, with minimum submissions. The role is remote and global, about 15 hours a week on a flexible schedule.

What you would do

  • Write and solve rigorous scientific problems in your area of biology or medicine
  • Build reproducible Python analyses, models, simulations or data-processing pipelines
  • Review scientific solutions and code for correctness, clarity and completeness
  • Spot errors in technical reasoning or code and validate computational results

What the listing asks for

  • Preferred: PhD, MD or master's degree with substantial research experience in a life sciences discipline
  • Preferred: a research record shown through publications, thesis work, computational projects or industry research
  • Preferred: practical Python for scientific computing, data analysis, modeling or simulation
  • Preferred: familiarity with NumPy, pandas, SciPy, Matplotlib, scikit-learn, Jupyter or domain libraries

Suits computational biologists, bioinformaticians and biomedical researchers who code in Python every day and can start quickly on a part-time, task-based schedule.

Listed pay: $60 to $120 per hour, paid per task that meets specifications. Where: Remote, worldwide. Time: About 15 hours a week, flexible schedule. Contract work for micro1, a company that hires experts for AI training projects.

Applications go through micro1's own site. AI Trainer Guide is an independent guide to AI training work, not micro1 or its recruiter. The apply link on our page is a referral link: micro1 may pay us if it hires you, at no cost to you.

Vacancy posted 5 days ago
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