Live opening · Posted 7 hours ago
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About the role
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ELN Implementation specialist
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. This role sits at the intersection of science, data, and engineering, with a strong focus on owning and delivering laboratory informatics solutions (ELN, SDMS) that enable scalable, high-quality scientific workflows. This is a unique opportunity to take ownership of lab informatics systems and play a key role in Lonza’s digital transformation. You will work in a highly collaborative environment, bridging science and technology to enable next-generation R&D.
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 end-to-end implementation, configuration, and optimization of laboratory informatics systems (ELN, SDMS) across R&D
Act as a subject matter expert, driving adoption and continuous improvement of lab informatics platforms
Partner closely with R&D scientists to translate experimental workflows into structured, scalable digital solutions
Design and implement data models, templates, metadata structures, and workflows aligned with FAIR data principles
Build and maintain integrations between lab systems, automation platforms, analytics tools, and cloud environments using APIs and middleware
Develop robust data flows to improve interoperability, reduce manual effort, and ensure high-quality data capture
Provide user training, documentation, and ongoing support to ensure successful system adoption
Contribute to digital architecture discussions and help shape the evolution of Lonza’s R&D data ecosystem
What we are looking for:
MSc (or equivalent) in Bioinformatics, Biology, Chemistry, Engineering, or a related field
Proven hands-on experience implementing or owning ELN or SDMS platforms in a pharma/biotech R&D environment
Alternatively, significant experience as a power user/end user of ELN/ systems, with involvement in system configuration, optimization, or rollout
Strong understanding of scientific workflows and experimental data lifecycle management
Experience with data modelling, metadata standards, and FAIR data principles
Programming/scripting experience (Python, R, SQL) and experience integrating systems via APIs (REST, GraphQL)
Strong communication skills with the ability to work across scientific and technical teams
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.
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