growthroles

ELN Implementation specialist - Slough

Lonza Open · verified Sep 29, 2026
2 Locations Full-time Mid-level Solutions & Sales Engineering

At a glance

Mid-level Solutions & Sales Engineering role at Lonza. 2 Locations · full-time.

Pay not stated

RoleSolutions & Sales Engineering
SeniorityMid-level
Location2 Locations
EmploymentFull-time
PostedSep 29, 2026 · 0d ago
Role brief

growthroles summary, based on the employer's posting.

What you'll do

  • Roll out and tune ELN and SDMS systems across R&D, from initial setup through ongoing optimization
  • Work with R&D scientists to turn experimental processes into structured digital workflows and data models
  • Connect lab systems with automation, analytics and cloud tools through APIs and middleware
  • Improve data movement between systems, supporting reliable capture and less manual work
  • Train users, write guidance and provide ongoing support to encourage platform adoption

What you bring

  • An MSc or equivalent in bioinformatics, biology, chemistry, engineering or a related discipline
  • Hands-on ELN or SDMS implementation or ownership in pharma or biotech R&D, or substantial user experience with configuration, optimization or rollout
  • Knowledge of scientific workflows, experimental data lifecycles, data modelling, metadata standards and FAIR principles
  • Programming or scripting in Python, R or SQL, plus experience connecting systems through REST or GraphQL APIs

Who this fits

This mid-level role suits someone who can bridge laboratory science and technical systems, working with both scientific and technical teams. The position is based in Slough, United Kingdom.

From the employer

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.

Not this one either?

Claude or ChatGPT reads the other 92,414 for you.

Get better matches →

Same team as Marketing Monk

What's happening in AI marketing. Daily.

Biggest story, quick hits, a prompt, one action.

7 minutes. 71,000 readers. Unsubscribe anytime.