NGS & AI Engineering Intern: Bioinformatics Meets Lab Design

Roche

Cape Town

On-site

ZAR 100,000 - 167,000

Full time

10 days ago

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Job summary

Roche Diagnostics offers a 12-month internship in Cape Town, bridging biology and artificial intelligence. You will build AI tools and Python pipelines to support sequencing assay design and reagent development.

You will verify AI outputs, analyze literature, and document results while collaborating with the R&D team. The program provides mentorship and hands-on experience at the intersection of genomics and AI.

Qualifications

  • Honours or Master’s in Molecular Biology, Genetics, Genomics, Biochemistry, Computational Biology or Bioinformatics with AI/ML experience.
  • Foundational understanding of core molecular biology and assay principles to comprehend workflows.
  • Proven ability to write Python code for data processing, automation, or tool development.

Responsibilities

  • Develop Python pipelines and LLM agent workflows to analyze dense technical specifications, literature, and SOPs for assay design.
  • Create automated verification checks to ensure AI outputs match biological evidence and data attribution.
  • Evaluate scientific documents, NGS criteria, and reagent performance using computational tools.
  • Design prompts and automated tests to evaluate AI tool performance on real-world examples.
  • Collaborate with assay development scientists to translate requirements into AI utilities.
  • Maintain R&D documentation, code architecture, testing outcomes, and analysis reports.

Skills

Python programming
AI/ML concepts
Bioinformatics basics

Education

Honours/Master’s in Molecular Biology or Computational Biology

Tools

LLM APIs
Python pipelines

Job description

Roche Diagnostics offers a 12-month internship in Cape Town, bridging biology and artificial intelligence. You will build AI tools and Python pipelines to support sequencing assay design and reagent development.

You will verify AI outputs, analyze literature, and document results while collaborating with the R&D team. The program provides mentorship and hands-on experience at the intersection of genomics and AI.

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