Lab Informatics Engineer
Indexed description
United Kingdom, Slough
Lab Informatics Engineer
Slough, UK
The actual location of this job is in Slough, United Kingdom.
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.
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.
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.
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
Apply
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search