SA

Bioinformatics Research Intern

SanBioAIApplies on LinkedInOther
Hiring from
New Zealand
Work type
Remote
Posted
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Bioinformatics Research Intern

SANBIOAI · Auckland, New Zealand · Remote · Internship, Part-time

About SANBIOAI

SANBIOAI is a next-generation AI, bioinformatics and genomics company working on precision medicine and cancer care. Our flagship product, OncoTrace AI, combines multi-omics data, clinical insights and advanced AI/ML to support earlier cancer detection, accurate risk prediction and continuous monitoring.

The role

You’ll join our research team and help turn complex biological data into actionable insights for OncoTrace AI. You’ll work on real genomics and multi-omics datasets alongside bioinformaticians and AI/ML practitioners.

What you’ll do

  • Currently pursuing a PhD in Bioinformatics, Genomics, Computational Biology
  • Process and analyse genomic and multi-omics data (WGS, WES, RNA-seq, and where relevant proteomics and metabolomics)
  • Help curate, clean and quality-check datasets for use in our AI/ML pipeline
  • Support biomarker discovery and validation research
  • Run and document bioinformatics workflows, keeping analyses reproducible
  • Review scientific literature relevant to cancer genomics and precision oncology
  • Present findings and contribute to team discussions

What we’re looking for

Currently pursuing a PhD in Bioinformatics, Genomics, Computational Biology

  • Currently studying, or recently graduated in, bioinformatics, computational biology, genomics, data science, biomedical science or a related field
  • Working knowledge of Python and/or R
  • Familiarity with the command line (Linux) and common bioinformatics concepts such as sequence alignment, variant calling and differential expression
  • Strong analytical skills and attention to detail
  • Clear written and verbal communication
  • Authorised to work in New Zealand

Nice to have

  • Experience with genomic datasets (e.g. TCGA) or tools such as samtools, GATK, DESeq2 or Bioconductor
  • Exposure to machine learning (scikit-learn, PyTorch or similar)
  • Interest in oncology, biomarkers or clinical data

What you’ll gain

  • Hands-on experience on a live precision-oncology AI platform
  • Mentorship from a team working at the intersection of AI and genomics
  • Potential pathway to ongoing work

How to apply

Apply via LinkedIn or email your CV and a short cover note to contact@sanbioai.com.

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