About Company
Illumina is a global leader in DNA sequencing and array-based technologies, serving customers in the research, clinical, and applied markets. With our innovative tools and systems, we are dedicated to unlocking the power of the genome to improve human health. Our technology is at the forefront of genetic discovery, enabling scientists worldwide to explore the intricacies of life, from understanding complex diseases like cancer and rare genetic disorders to advancing population genomics and drug development. We are a company driven by innovation, a passion for scientific excellence, and a commitment to making a profound impact on humanity. Our collaborative and diverse team thrives on pushing boundaries, turning scientific ideas into reality, and ultimately accelerating breakthroughs that have the potential to transform healthcare and beyond. Join us in Cambridge, a vibrant hub of biotechnology and life sciences, and be part of a team that is redefining the future of genomics.
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Job Description
Illumina is seeking a highly motivated and skilled Bioinformatics Scientist to join our dynamic and expanding team in Cambridge, Cambridgeshire. In this pivotal role, you will contribute to cutting-edge research and development initiatives, working with vast amounts of genomic data to drive discoveries that impact diagnostics, drug development, and scientific understanding. This is an exciting opportunity to apply your expertise in a collaborative environment that values innovation, scientific rigor, and the continuous pursuit of excellence. You will be instrumental in developing novel analytical methods, pipelines, and tools that process, interpret, and visualize complex biological information, ultimately helping to translate genomic insights into tangible solutions for patients worldwide.
Your work will span across various projects, from developing robust data processing workflows for next-generation sequencing (NGS) data, to contributing to the interpretation of clinical genomics results, and exploring new frontiers in multi-omics data integration. You will engage with interdisciplinary teams including molecular biologists, statisticians, software engineers, and clinical scientists, fostering a rich environment for learning and contribution. We empower our scientists to take ownership of their projects, explore new technologies, and contribute to scientific publications and presentations, thereby enhancing both the company’s success and the broader scientific community. You will play a crucial role in bringing novel genomic applications to market, impacting personalized medicine, oncology, reproductive health, and various other fields.
Key Responsibilities
- Design, develop, and implement robust bioinformatics pipelines and algorithms for the analysis of large-scale genomic datasets (e.g., NGS, WGS, RNA-seq, single-cell sequencing).
- Perform statistical analysis and data mining on complex biological data, interpreting results and generating clear, concise reports and visualizations.
- Collaborate closely with molecular biologists, geneticists, clinical scientists, and software engineers to define project requirements, deliver solutions, and integrate bioinformatics tools into broader platforms.
- Stay abreast of the latest advancements in bioinformatics tools, methodologies, and genomic technologies, evaluating and recommending new approaches.
- Contribute to scientific publications, patents, and presentations at internal and external scientific meetings.
- Ensure the quality, integrity, and reproducibility of data analyses, adhering to best practices and regulatory guidelines where applicable.
- Participate in the evaluation and implementation of cloud-based bioinformatics solutions and high-performance computing resources.
Required Skills
- PhD or MSc in Bioinformatics, Computational Biology, Genomics, Genetics, Computer Science, or a closely related field.
- Proven experience (post-academic or industrial) in bioinformatics analysis, particularly with Next-Generation Sequencing (NGS) data.
- Strong programming skills in Python and/or R for data analysis and pipeline development.
- Proficiency with the Linux/Unix command line environment and shell scripting.
- Experience with common bioinformatics tools and databases (e.g., GATK, samtools, BEDTools, Ensembl, UCSC Genome Browser).
- Solid understanding of statistical methods relevant to biological data analysis.
- Experience with version control systems, particularly Git.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
Preferred Qualifications
- Postdoctoral experience in a relevant field.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and workflow management systems (e.g., Nextflow, Snakemake).
- Familiarity with machine learning algorithms and their application to biological data.
- Knowledge of human genetics, medical genomics, or clinical bioinformatics.
- Experience working in a regulated environment (e.g., CLIA, CAP, ISO 13485).
- Track record of scientific publications or significant contributions to open-source bioinformatics projects.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health and dental insurance plans.
- Generous paid time off, including holidays and sick leave.
- Robust pension scheme with company contributions.
- Opportunities for professional development, training, and career advancement.
- On-site facilities including a cafeteria, gym, and recreational areas.
- Access to cutting-edge technology and a collaborative, innovative work environment.
- Employee stock purchase program.
- Relocation assistance for eligible candidates.
How to Apply
Interested candidates are invited to apply by clicking on the application link below. Please submit your CV and a cover letter detailing your relevant experience and why you are passionate about joining Illumina’s team. We look forward to reviewing your application and exploring how your skills can contribute to our mission.
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