Bioinformatics Scientist, NIPT & Genomics Innovation

Illumina, Inc; Cambridge; On-site; GBP 44,000 - 66,000; Full time

Benefits offered by this job

Private medical insurance

Pension scheme

Flexible time off

Company-wide summer shutdown

Job summary

Illumina, Inc. is seeking a senior bioinformatics scientist in the United Kingdom to develop algorithm specifications and analytical approaches supporting NIPT product development.

You will collaborate with cross‑functional teams to design, execute, and analyse experiments and contribute to validation activities for clinical genomic products. You will utilize Python and R to develop, analyse, and improve bioinformatics workflows, apply statistical methods to solve complex challenges, and

Qualifications

• PhD in bioinformatics, computational biology, statistics, mathematics, or related field.
• Experience with data analysis and genomics research.
• Strong Python or R programming skills essential.

Responsibilities

• Develop algorithm specifications and analytical approaches for NIPT product development.
• Collaborate with assay development, regulatory, and bioinformatics teams to design, analyse experiments.
• Validate and verify clinical genomic products and maintain bioinformatics workflows.
• Communicate project objectives and progress clearly to stakeholders across functions.
• Apply statistical and computational methods to solve complex scientific challenges.

Skills

Python

R

Data analysis

Data visualization

NGS

NIPT knowledge

Bioinformatics

Communication

Education

PhD in bioinformatics / related field

Job description

Illumina, Inc. is seeking a senior bioinformatics scientist in the United Kingdom to develop algorithm specifications and analytical approaches supporting NIPT product development.

You will collaborate with cross‑functional teams to design, execute, and analyse experiments and contribute to validation activities for clinical genomic products. You will utilize Python and R to develop, analyse, and improve bioinformatics workflows, apply statistical methods to solve complex challenges, and