Senior Bioinformatics Engineer – Pipeline Automation & Tool Development

Uley
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Process Engineer

Senior Extrusion Process Engineer

Senior Process Engineer

Senior Process Engineer

Senior Manufacturing Process Engineer - NPI / Industrialisation

Senior Process Engineer

Senior Bioinformatics Engineer – Pipeline Automation & Tool Development

Location: Cambridge

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of.

The Senior Bioinformatics Engineer – Pipeline Automation & Tool Development will be responsible for developing efficient and high quality bioinformatic pipelines and data science software supporting the design, data processing, analysis, and reporting across Lonza R&D departments. They will be placed in the Bioinformatics & Data Science group and closely work with multi-disciplinary teams of bioinformaticians, lab scientists, biochemists and bioprocess engineers.

The Senior Bioinformatics Engineer – Pipeline Automation & Tool Development will further drive and implement innovative solutions enhancing Lonza’s capabilities in data science and statistics, with the goal to improve biomanufacturing of Biologics molecules. The role is also expected to manage collaborations and act as mentor for more junior team members.

What you’ll do:

Develop and maintain bioinformatic pipelines to facilitate complex data analysis and integration.

Supports onboarding and development of data analysis tools used by multidisciplinary teams across Lonza.

Drives digital innovation in biomanufacturing by enhancing data science, bioinformatics and statistical capabilities.

Manages internal and external collaborations with academic and commercial partners.

Leads, mentors and trains junior team members.

What we’re looking for:

PhD with at least 2 years of industry experience or MSc with 5 or more years of relevant experience in bioinformatics, computational biology, data science or a related field.

Hands-on experience in developing and implementing multiple Nextflow pipelines in a production system.

Excellent knowledge of Docker, git, the UNIX command line, R (or python) and unit/pipeline testing frameworks.

Minimum 2 years work experience in developing and rolling out GUI-based bioinformatic tools facilitating experimental design and analyses.

Proven ability to communicate complex bioinformatic concepts to stakeholders and multidisciplinary teams.

General expertise in analyzing and interpreting omics and other biological data sets using statistical and visualization approaches.

Good organizational skills, including time management, ability to set priorities and adhere to deadlines.

Strong attention to detail and problem solving skills.

Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.

People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

Lonza is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a qualified individual with disability, protected veteran status, or any other characteristic protected by law

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 Semiconductor Tools Do You Need to Know to Get a Semiconductor Job?

If you’re pursuing a career in the semiconductor industry, it can feel like you’re expected to master an endless list of tools, software packages and lab equipment before you even submit a CV. One job advert wants experience with TCAD and process simulation, another mentions SPICE and yield tools, while yet another asks for test automation platforms, yield analysis software, hardware description languages, EDA suites and hundreds of others. With so many technical names thrown around, it’s easy to fall into “tool anxiety” — the feeling that you’re behind because you don’t know every piece of software, every lab instrument and every process control suite. Here’s the honest truth most semiconductor hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool — they hire you because you can use the right tools to solve real engineering problems and explain your reasoning clearly. Tools matter, absolutely. But they exist to help you deliver measurable results — not to be collected like badges. So how many semiconductor tools do you actually need to know to get a job? The answer is a lot fewer than you might think — and far more focused on core capabilities than a long checklist. This guide breaks down what employers really value, which tools are essential, which are role-specific, and how to focus your learning so you are confident and credible.

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

The semiconductor industry is fast-moving, highly technical and critically important to modern technology. Whether you’re targeting roles in device design, process engineering, yield improvement, test and validation, equipment engineering, reliability, failure analysis or fab operations, hiring managers are selective and deliberate in how they review applications. Most candidates still make the same mistake: they throw generic skill lists and duty statements at recruiters and hope it sticks. In reality, hiring managers make an early call — often within the first 10–20 seconds — based on a few key signals that tell them whether you’re a credible, relevant, impactful candidate. This article breaks down exactly what hiring managers look for first in semiconductor job applications — how they scan your CV, portfolio and cover letter, what makes them read deeper, and what causes strong candidates to be passed over in favour of others.

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

The semiconductor industry lies at the heart of modern technology. From smartphones and data centres to autonomous vehicles, medical devices and defence systems, semiconductors power the digital age. The UK is investing heavily in semiconductor research, fabrication and talent development as part of its industrial strategy — yet employers continue to report a persistent problem: Many graduates are not job-ready for semiconductor roles. Despite strong academic programmes in engineering, physics and materials science, there remains a tangible skills gap between what universities teach and what semiconductor employers actually need. This article explores that gap in depth: what universities do well, where there are consistent shortfalls, why the divide persists, what employers genuinely want, and how jobseekers can bridge the gap to build successful careers in the semiconductor sector.