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Biologist | Remote

Remote / Online - Candidates ideally in
New York, New York City, Richmond County, New York, USA
Listing for: Crossing Hurdles
Part Time, Remote/Work from Home position
Listed on 2026-10-30
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist
Salary/Wage Range or Industry Benchmark: 90 USD Hourly USD 90.00 HOUR
Job Description & How to Apply Below
Position: Biologist | $90/hr Remote
Location: New York

Type: Contract

Compensation: $45 - $90/hour

Location: Remote

Commitment: 10-40 hrs/week

Role Responsibilities
  • Design, evaluate, and critique biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives.
  • Provide expert-level insights on genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
  • Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility.
  • Analyze biological datasets and provide actionable recommendations.
  • Leverage domain knowledge to guide the development and validation of biology-related AI models and tools.
  • Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
  • Document findings, methodologies, and best practices to ensure knowledge transfer across the customer s team.
Requirements
  • PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field, or equivalent industry/research experience.
  • Professional written and spoken English (C1 or higher).
  • Deep expertise in at least one of the specified areas, with hands-on experience analyzing real biological data.
  • Proficiency in Python and/or R for scientific analysis, plus experience with standard tools in your subfield.
  • Strong statistical, quantitative, and analytical reasoning skills.
  • Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
  • Track record of rigorous scientific problem-solving in complex biological domains.
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