Lonza
Lab Informatics Engineer
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Lab Informatics Engineer
Locations: United Kingdom, Cambridge | Slough, UK
Job Location: Slough, UK
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.
The full list of our global benefits can be found here: https://www.lonza.com/careers/benefits
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.
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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.
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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.
Reference: R73557
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