Genomic Data Engineer

Science, Technology, Engineering and Mathematics / Life Sciences and Biotechnology / Bioinformatics and Computational Biology

Builds scalable pipelines and data systems for managing and processing genomic datasets.

Career Overview

Growth Outlook: Very High

Genomic data engineers design high-performance data architectures, automate sequencing workflows, manage omics data pipelines, and implement cloud-based bioinformatics systems. They work with distributed computing, HPC, workflow engines, databases, and containerised environments. Employment occurs in genome centres, biotech firms, digital health companies, and precision-medicine programs. Rising genomic data volumes and cloud-scale analytics create very strong global demand.

Top Skills

  • Pipeline engineering
  • Cloud computing
  • HPC
  • Workflow automation
  • Python/Java
  • Database systems
  • NGS QC

Education Pathway

  • 12th Science
  • Bachelor’s in Computer Science / Bioinformatics / Data Science
  • Master’s in Bioinformatics / Data Engineering
  • PhD optional
  • postdoctoral research for advanced roles

Suggested UG Degrees

  • BSc Computer Science
  • BSc Bioinformatics
  • BSc Data Science

PG / Advancement Options

  • MSc Bioinformatics
  • MSc Data Engineering
  • PhD Computational Genomics

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Also Known As

  • Genome Pipeline Engineer
  • NGS Data Engineer
  • Bioinformatics Infrastructure Specialist
  • Omics Data Engineer