Senior Bioinformatics Scientist

Illumina
Cambridge
1 year ago
Applications closed

Related Jobs

View all jobs

Vice President, Head of Discovery Data Science

Senior Machine Learning Research Engineer

Senior Machine Learning Engineer

Senior Data Scientist

Senior Machine Learning Scientist

Senior Machine Learning Engineer

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.

Senior Bioinformatics Scientist

Cambridge

Hub and Hybrid

We have an exciting opportunity for2 Senior Bioinformatics Scientiststo join our team in Cambridge and join us in the effort to develop bioinformatic tools and software enabling precision medicine.

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!

The role

The Bioinformatics & DRAGEN HW SW department at Illumina is looking for a bioinformatics scientist with experience in algorithm development, statistical modeling, and software development. 

The team is responsible for defining and creating software and workflows for efficient analysis of genetic and epigenetic data, integrating community tools as well as developing novel methods and best-in-class algorithms to be deployed both locally and on Illumina’s cloud computing environment.

Why you

The ideal candidate will be able to work in a cross functional team, translating the challenges faced by the group into bioinformatics solutions. The position requires a strong background in algorithm development, bioinformatics data analysis, machine learning, statistics, and software development.

Responsibilities:

Develop algorithms for analysis of various data types and platforms for translational research and clinical applications. Apply statistics, machine learning, and other computational methods to analyze large-scale genetic and epigenetic data, such as genotyping, cytogenetics, DNA methylation, etc. in a fast-paced product development environment. Design and develop software to address novel analytical challenges and to automate established analysis so that thousands of studies can be analyzed in a robust manner. 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.

Required Skills and Experience:

PhD in Computer Science, Bioinformatics, Machine Learning or a related field plus 1-3 years of post-doctoral research or industry experience Background in algorithm development, statistical modeling, generative AI, and software development Background in precision medicine and clinical genetics research or product development Deep understanding & practical applications of statistics and bioinformatics algorithms  Critical problem solving and data analysis skills Programming experience with Python and/or R; proficiency in C, C++, C#, and/or Java is a plus Superior written and verbal communication skills All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities.

Do you have experience withinCytogenetics, epigenetics, genotyping, algorithm development, machine learning, GenAI, software development, blood typing software -then we want to hear from you!

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.