DRAGEN Array Bioinformatics Scientist/Engineer

DRAGEN Array Bioinformatics Scientist/Engineer

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Advance DRAGEN Array software for genomic data analysis and develop scalable computational workflows.
  • Company: Illumina, a leader in genomics with a focus on innovation.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with opportunities to work alongside wet-lab scientists.
  • Why this job: Join a team making a real impact in genomics and work with cutting-edge technology.
  • Qualifications: Experience in bioinformatics, algorithm development, and software engineering.

The predicted salary is between 63000 - 77000 Β£ per year.

Illumina is seeking a Bioinformatics Scientist/Engineer to advance DRAGEN Array software for array and NGS data analysis.

You will work with wet-lab scientists, product and software engineers to translate complex genomic questions into scalable computational workflows.

The role emphasizes algorithm development, statistical modelling, and production-quality software engineering, with a focus on accuracy, scalability, and robust testing in both local and cloud environments.

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DRAGEN Array Bioinformatics Scientist/Engineer employer: Illumina

Illumina is an exceptional employer located in the vibrant city of Cambridge, offering a dynamic work environment that fosters innovation and collaboration in the biotechnology sector. Employees benefit from a comprehensive benefits package, flexible time off, and ample opportunities for professional growth, all within a culture that values inclusivity and teamwork. Joining Illumina means being part of a forward-thinking company dedicated to making a meaningful impact in life sciences.

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Contact Details:

Illumina Recruitment Team

We think you need these skills to ace DRAGEN Array Bioinformatics Scientist/Engineer

Python
SQL
Problem-Solving Skills
Communication Skills
Data Engineering
Data Pipeline Development
API Integration