Micro1
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STEM Expert – Biology & Bioinformatics (PhD)

45–90/hr
Remote
Posted October 16, 2026
contract
50 openings
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Listing checked October 16, 2026 · pay as published by Micro1

Overview

This contract role puts your biology and bioinformatics background to work on AI benchmarking projects. You will design and critique computational biology workflows, assess pipelines for genomics, transcriptomics, proteomics, and related data, and help validate biology-focused AI models. The position is fully remote and open to applicants worldwide. You will collaborate with a customer team, documenting methods and explaining technical concepts to both scientific and non-scientific partners.

What You'll Do7

  • 1Create, test, and review workflows in biology, bioinformatics, and computational biology for AI benchmarking efforts.
  • 2Offer deep domain input on pipelines that handle genomic, transcriptomic, proteomic, and other biological data.
  • 3Check and refine pipeline settings, tool setups, and statistical approaches to support accuracy and reproducibility.
  • 4Examine biological datasets such as NGS, RNA-seq, single-cell, variant calling, and protein structure data, then suggest concrete next steps.
  • 5Apply your subject knowledge to guide the creation and validation of biology-related AI models and tools.
  • 6Explain complex scientific ideas in plain language through written reports and verbal discussions with technical and non-technical colleagues.
  • 7Record findings, methods, and best practices so the customer team can reuse them.

Requirements8

  • 1PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field, or comparable industry or research experience.
  • 2Professional written and spoken English at C1 level or above.
  • 3Deep expertise in at least one area such as genomics and NGS analysis, transcriptomics and single-cell analysis, proteomics and structural biology, molecular and cell biology, systems biology and biological network analysis, drug discovery and computational pharmacology, or biostatistics and machine learning applied to biology.
  • 4Hands-on experience analyzing real biological data.
  • 5Proficiency in Python and/or R for scientific analysis, plus familiarity with standard tools in your subfield, for example BLAST, samtools, GATK, Bioconductor, or Biopython.
  • 6Strong statistical, quantitative, and analytical reasoning skills.
  • 7Excellent written and verbal communication, with the ability to document and explain technical concepts.
  • 8A record of rigorous scientific problem-solving in complex biological domains.

Who Should Apply

The ideal candidate holds a PhD in biology, bioinformatics, computational biology, genomics, or a related STEM field, or brings equivalent research or industry experience. You have deep hands-on expertise in at least one area like genomics, transcriptomics, proteomics, or biostatistics, and you are comfortable with Python or R plus tools such as BLAST, samtools, GATK, Bioconductor, or Biopython. Strong English communication skills and a track record of rigorous scientific problem-solving are essential.

Salary Insight

The rate for this contract role is $45 to $90 per hour. No other compensation details are provided in the source.

Pay and demand for AI Training roles

Aggregated

Typical pay

$70/hour

This role

$45–$90/hr

Most AI Training roles pay $40–$96 per hour. This role's pay falls inside that range.

Based on 1,067 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

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Location

TypeRemote
LocationRemote
This is a remote position

Compensation

$45–90/hr

Required Skills

scientific software configurationai/ml-assisted chemistry workflowsquantitative analysisanalytical reasoningscientific programmingwritten communicationverbal communicationdocumentationproblem-solving

Application Tip

Highlight your PhD and at least one area of deep expertise, then list specific tools you have used, such as BLAST, samtools, GATK, Bioconductor, or Biopython, and mention Python or R. Include a concrete example of analyzing real biological data, like an NGS or single-cell project, and note your English level if it is C1 or higher.

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