Bioinformatics Scientist 2
Cambridge
Hub and Hybrid
We have an exciting new opportunity for a talented Bioinformatics Scientist 2 to join our Illumina Laboratory Services based in Cambridge to support bringing the power of the genome to human health.
This is a great opportunity to be part of Illumina’s continued growth, contributing to our mission of improving human health by unlocking the power of the genome!
Illumina's employee benefits are industry-leading and include flexible time off, private medical insurance, compassion, and care time off, leisure travel insurance, pension, employee stock purchasing program, volunteer time off, and much more!
Why Us
Illumina are the global leaders in the development and application of next generation DNA sequencing technology, with 90% of the world’s NGS DNA sequencing data created on Illumina’s platforms. The Illumina Laboratory Services team in Cambridge (ILS UK) applies Illumina’s core sequencing technology to large scale, high throughput sequencing projects such as Genomics England 100K Genome Project and Genomic Medicine Service.
Why You
If you have a genomics/data science background with expertise in NGS data analysis and a passion for analysing complex data, this role is made for you!
If you want to push boundaries and join a culture fuelled by innovation, collaboration, and openness then Illumina is the place for you.
The role
As a Bioinformatics Scientist working across all teams within ILS UK and the wider Illumina community, you will be responsible for supporting proof-of-concept studies and contribute to the validation of the laboratory processing and the data analysis of samples. Our goal is to ensure patients get reliable, pertinent genomics information.
Responsibilities include:
- Analyse, integrate, model and interpret experimental data to drive the development of whole-transcriptome and whole-genome clinical tests for oncology in proof-of-concept studies
- Contribute to the design and development of a standardized automated validation infrastructure for use within an ISO15189 medical testing laboratory
- Develop, document, and maintain reusable bioinformatics analysis code
- Work with large data sets to solve complex problems of analytical, computational, or integration-related topics
- Support the participation to External Quality Assurance Schemes and inter-laboratory comparison activities
- Communicate and collaborate in cross-functional multi-site teams
Preferred background, skills, and experience:
- Masters, Ph.D. or equivalent in Bioinformatics, Computational Biology or related field
- Proficient in bioinformatic and analysis tools and packages, especially for Next Generation Sequencing (NGS) data
- Experience in cancer genomics is preferred
- Experience in working in an ISO-accredited laboratory is preferred
- Proficient in either R or Python, comfortable with shell scripting and HPC, familiarity with git
- Good understanding of applied statistics
- Excellent written and verbal communication skills
- Ability to contribute independently and collaboratively, take ownership of assigned tasks, and excel in a fast-paced environment
What can you expect:
Our team members are bright, energetic and dedicated - they are the driving force behind our innovation and impact. To attract the best and brightest, we offer a competitive employee benefits program. We view it as a smart investment in our people, one that recognizes the tremendous value they bring to our business every day. At Illumina, we push boundaries. We think beyond the conventional. We dream big. With the energy of so many bright and accomplished people, the opportunities are endless.
Illumina believes that everyone has the ability to make an impact, and we are proud to be an equal opportunities employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information.
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