Lab Informatics Engineer in Slough

Lab Informatics Engineer in Slough

Slough Full-Time 40000 - 55000 £ / year (est.) No working from home possible
Dormont Manufacturing Co

At a Glance

  • Tasks: Lead the development of innovative lab informatics solutions to enhance scientific workflows.
  • Company: Join Lonza, a global leader in life sciences with a collaborative culture.
  • Benefits: Agile career growth, competitive compensation, and diverse benefits tailored to your role.
  • Other info: Dynamic environment with opportunities for collaboration across scientific and technical teams.
  • Why this job: Make a real impact on the future of laboratory science and digital transformation.
  • Qualifications: MSc in a relevant field and experience in lab informatics systems.

The predicted salary is between 40000 - 55000 £ per year.

Join Lonza’s Biologics R&D team and play a pivotal role in shaping the digital future of laboratory science. As a Lab Informatics Engineer, you will work at the intersection of science, data, and engineering to build connected, scalable lab informatics solutions that accelerate innovation and empower researchers.

What you will get:

  • An agile career and dynamic working culture.
  • An inclusive and ethical workplace.
  • Compensation programs that recognize high performance.
  • A variety of benefits dependent on role and location.

What you will do:

  • Lead the implementation, configuration, and optimization of laboratory informatics systems (e.g., ELN, LIMS, SDMS) to enhance scientific workflows.
  • Partner with R&D scientists to translate experimental processes into structured, scalable digital solutions.
  • Design and implement data models, templates, metadata structures, and workflows aligned with FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
  • Build and maintain integrations between lab platforms, analytics tools, automation systems, and cloud-based environments using APIs and middleware.
  • Develop robust data flows that improve interoperability, reduce manual effort, and ensure high-quality experimental data capture.
  • Contribute to digital architecture discussions and help shape the evolution of Lonza’s R&D data ecosystem.
  • Deliver user training, documentation, and ongoing support to drive adoption and continuous improvement of digital lab solutions.

This role offers the opportunity to influence digital transformation in a cutting-edge R&D environment while collaborating with cross-functional teams including scientists, automation engineers, and IT specialists.

What we are looking for:

  • MSc (or equivalent) in Bioinformatics, Biology, Chemistry, Engineering, or a related scientific field.
  • Experience working within pharma, biotech, or life sciences R&D environments.
  • Hands-on experience implementing or optimizing laboratory informatics systems (e.g., ELN, LIMS, SDMS).
  • Strong understanding of scientific workflows and experimental data lifecycle management.
  • Experience with data modelling concepts and metadata standards; familiarity with FAIR data principles is highly desirable.
  • Programming or scripting experience (e.g., Python, R, SQL) and experience integrating systems using APIs (REST, GraphQL).
  • Strong communication skills with the ability to collaborate effectively across scientific and technical teams.
  • Experience with cloud platforms (Azure, AWS, GCP), laboratory automation systems, or bioinformatics data pipelines would be an advantage.

We welcome candidates with transferable technical and digital skills who are motivated to apply their expertise in a scientific R&D setting.

About Lonza:

At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.

Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we value diversity and are committed to creating an inclusive environment for all employees. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board.

Ready to shape the future of life sciences? Apply now.

Lab Informatics Engineer in Slough employer: Dormont Manufacturing Co

At Lonza, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. As a Lab Informatics Engineer in Slough, you'll have the opportunity to influence digital transformation in cutting-edge R&D while enjoying a variety of benefits and career growth opportunities tailored to your role. Join us to be part of a team where your contributions can make a real difference in advancing life sciences.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lab Informatics Engineer in Slough

Tip Number 1

Network like a pro! Reach out to professionals in the lab informatics field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving ELN, LIMS, or data modelling. This gives potential employers a taste of what you can bring to their team.

Tip Number 3

Prepare for interviews by brushing up on common lab informatics scenarios. Think about how you’d tackle real-world problems and be ready to discuss your thought process with confidence.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.

We think you need these skills to ace Lab Informatics Engineer in Slough

Laboratory Informatics Systems Implementation
ELN (Electronic Lab Notebook)
LIMS (Laboratory Information Management System)
SDMS (Scientific Data Management System)
Data Modelling
Metadata Standards
FAIR Data Principles

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Lab Informatics Engineer role. Highlight relevant experience in lab informatics systems and any programming skills you have. We want to see how your background aligns with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about lab informatics and how your skills can contribute to our team. Keep it engaging and personal – we love to see your personality come through.

Showcase Your Technical Skills:Don’t forget to showcase your technical skills, especially in programming and data modelling. Mention any hands-on experience with ELN, LIMS, or SDMS systems. We’re keen on candidates who can hit the ground running!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!

How to prepare for a job interview at Dormont Manufacturing Co

Know Your Tech

Make sure you brush up on the laboratory informatics systems mentioned in the job description, like ELN, LIMS, and SDMS. Be ready to discuss your hands-on experience with these systems and how you've optimised them in past roles.

Understand FAIR Principles

Since the role involves working with data models and metadata structures aligned with FAIR principles, it’s crucial to understand these concepts. Prepare to explain how you’ve applied these principles in your previous work or how you would approach them in this role.

Showcase Your Collaboration Skills

This position requires strong communication and collaboration with R&D scientists and technical teams. Think of examples where you successfully partnered with others to achieve a common goal, and be ready to share those stories during the interview.

Prepare for Technical Questions

Expect questions about programming or scripting languages like Python, R, or SQL, as well as system integration using APIs. Brush up on these skills and be prepared to discuss specific projects where you utilised them effectively.