Lead Bioinformatics Scientist

Illumina
Cambridge
10 months ago
Applications closed

Related Jobs

View all jobs

Principal Machine Learning Scientist

Staff Data Engineer and Team Lead

Bioinformatic Software Engineer

Machine Learning Engineer (Oxford)

Machine Learning Engineer

Lead Data Engineer - Snowflake, DBT, Airflow - London - £100k

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

Hub and Hybrid, Onsite or Remote

We have an exciting opportunity for aLead /Staff Bioinformatics Scientistto join our team in Cambridge, where you'll be working alongside engineering, chemistry and assay teams on R&D projects delivering new sequencing platforms and technologies.

This is a senior level role, where you will use yourextensive experience in Bioinformatics to lead and develop on projects. We are open to your location, Hub and Hybrid, onsite or remote based in the UK.

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

As asenior member of the Bioinformatics Scientist's team,you will have the opportunity to make substantial contributions through supporting bioinformatics activities in cross-functional programs including:

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 ahigh degree of initiative and cross-team collaborationas well as a thorough understanding of the product development processes.

Scope of responsibilities will include:

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 product development team, including defining milestones, establishing work priorities, and delegating tasks to other sub-team members as needed Contribute to the design and development of automated testing infrastructure and pipelines Contribute to the planning and execution of a comprehensive strategy for assessing quality of data from novel technologies Lead the analysis, integration, modelling and interpretation of experimental data · Translate analysis results into practical recommendations for technology development Be a technical representative on cross-functional initiatives

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

Why You

We are seeking adrivenandprofessional leader, withsignificant Bioinformatics experienceto strengthen our scientific function and play a pivotal role indeveloping and implementing bioinformatic solutionswhilst closely supporting internal functions in diverse global cross collaboration.

You will have experience in academia and/or in industry setting, with an open and honest approach,enjoy developing and mentoring othersto enhance their skills and promote a culture of excellence.

You’llthrive in a fast-paced collaborative environmentwhere collectively you will be making a difference to Human Health.

Essential Experience and Skills

Strong programming skills and experience with at least one programming languages, such as Python, R, etc. Familiarity with next-generation sequencing technologies Experience with data analysis and visualization of next-generation sequencing data and large datasets Familiarity with common bioinformatics pipelines and data formats Solid understanding of statistical and biological concepts Experience with Unix/Linux environments, including shell scripting and High Performance Computing (HPC) cluster usage Experience in designing or architecting automated workflows (desirable) Strong effective communication skills driven by collaborating with a diverse network

Education requirements:

Masters/PhD in bioinformatics, computer science, data science, engineering, mathematics or equivalent

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.

Want to know about working at Illumina...

We asked our colleagues to describe their Illumina career journeys in a word:

Impactful, unbelievably fulfilling, unexpected, wild ride, rewarding, exciting and fast!

Click on the link below to hear from our team, we hope you’ll be inspired to follow in their footsteps and explore a career with Illumina!


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.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!