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Bioinformatics And Computational Genomics Expert

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Job details

Pay

$200 USD/label

Engagement

Contract, part-time

Location

Remote

Worldwide

Posted

Nov 13, 2026

OpenTrain on Trustpilot

The work

You will create rigorous research tasks for AI training and evaluation using real-world biological datasets. Each task should lead to one objectively verifiable answer and include clear scientific reasoning, evidence, and reproducible documentation.

  • Design multi-step tasks using sequencing, genomics, transcriptomics, proteomics, metabolomics, structural biology, and related datasets.
  • Source datasets from authorized repositories, follow licensing requirements, and remove identifiable patient information.
  • Create reproducible Python validation notebooks that show how answers are derived from the underlying data.
  • Establish ground truths using PCR-confirmed results, known gene knockouts, verified pedigrees, or other independently validated biological information.
  • Sanitize file names, headers, and metadata so task materials do not reveal answers.
  • Separate objectively verifiable biological facts from conclusions that depend on interpretation.
  • Document workflows accurately and work with research and technical stakeholders to improve task quality.

Requirements

This is a remote contractor assignment lasting 5 weeks. The work requires 20+ hours per week, including a 4-hour overlap with Pacific Time.

  • Schedule: 20+ hours per week with a 4-hour Pacific Time overlap.
  • Language: Professional fluency in English.
  • Education: Ph.D. or postdoctoral experience in bioinformatics, computational biology, or a closely related field.
  • Experience: Hands-on analysis of raw or minimally processed biological datasets in at least one major sequencing, genomics, transcriptomics, proteomics, or metabolomics area.
  • Technical skills: Strong Python programming, computational biology workflows, data analysis pipelines, and reproducible notebooks.
  • Knowledge: Bioinformatics, genomics, molecular biology, data quality, experimental validation, and computational research methods.
  • You should be able to form unique research questions with objectively verifiable ground truths and explain scientific reasoning clearly.
  • The assignment does not include medical or paid leave.

Open worldwide

Helpful background and tools

Experience with relevant analysis tools and research resources can support success in this work. Background in adjacent research and evaluation activities is also useful.

  • Tools: samtools, bcftools, STAR, Salmon, Scanpy, Seurat, MACS2, or bedtools.
  • Repositories: GEO, SRA/ENA, ENCODE, PRIDE, MetaboLights, PDB, NCBI, or Ensembl.
  • Additional experience: R, wet-lab or clinical research, benchmark development, scientific data annotation, LLM evaluation, or independently validated biological datasets.

How to apply

  1. Press Apply now. You create a free OpenTrain account and add your resume.
  2. Finish your application on the hiring company's site. The company decides who it hires, so it runs its own form.

Job ID: cmwff9sx0004z08l5x00i7pq7

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