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A leading genomic technology company in Cambridge is seeking a Lead Bioinformatics Scientist. You will work at the intersection of engineering, chemistry, and biology to drive forward projects related to sequencing technologies. The ideal candidate will have advanced bioinformatics skills, experience with programming languages like Python and R, and a strong grasp of next-generation sequencing technologies. A Master's or Ph.D. in relevant fields is required. The role may be hybrid, onsite, or remote within the UK.
What if the work you did every day could impact the lives of people you know? Or all of humanity?
At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Lead (Staff) Bioinformatics Scientist Cambridge, UK Hybrid / Onsite / Or Remote (UK)The Staff Bioinformatics Scientist will work alongside engineering, chemistry and assay teams on R&D projects delivering new sequencing platforms and technologies. In this role, the Staff Scientist will represent bioinformatics in cross-functional programs:
Defining bioinformatics milestones and requirements · Leading data analysis activities
Developing novel tools and pipelines
Contributing to project strategy
In addition to strong bioinformatics and programming skills, this position requires a high degree of initiative and cross-team collaboration, as well as a thorough understanding of the product development process.
Responsibilities:
Represent bioinformatics in R&D projects across multiple sites for the design, development and validation of novel sequencing products.
Lead the data quality and bioinformatics function in a research or product development team, including defining milestones, establishing work priorities, and delegating tasks to other sub-team members as needed.
Collaborate with subject matter experts across R&D functions to understand, define, and communicate sequencing technology requirements for research and clinical applications.
Contribute to the planning and execution of a comprehensive strategy for assessing quality of data from existing and novel sequencing technologies.
Lead the analysis, integration, modelling and interpretation of experimental data. ·
Translate complex analysis results into actionable recommendations for technology development and improvement.
Present results clearly and effectively to both technical and non-technical stakeholders.
Stay current on the latest publications and relevant research and identify established methods that should be incorporate into method development.
Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.
Requirements:
· Proficient programming skills and experience with several programming
languages, such as Python, R, etc.
· Strong understanding of next-generation sequencing technologies and their
underlying principles.
· Experience working with Unix/Linux and High Performance Computing (HPC)
environments.
· Strong data analysis and visualization skills.
· Proficiency with common bioinformatics algorithms and methods. Hands on
experience of quality control and analysis of data generated from a variety of
omics, such as WGS, scRNA, somatic profiling, proteomics, methylation, etc.
· Excellent communication skills and a proven track record of collaborating with
diverse teams.
Desired:
· Experience working with cloud environments (e.g., AWS).
· Experience with workflow management languages, such as Nextflow, WDL, etc.
· Familiarity with containerization tools, such as Docker, and similar technologies.
Education:
Masters/PhD in bioinformatics, computer science, data science, engineering, mathematics or equivalent