Lead Scientist – Potency, ELISA & Cell-Based Analytics
Lonza is hiring a Lead Scientist – Potency, ELISA & Cell-Based Analytics. Level rates it ; you can apply on Lonza.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Level classifies it as a lead role.
- Level lists 566 other open roles at Lonza.
AI in this role
Job Title: Lead Scientist – Potency ELISA & Cell-Based Analytics
Location: Slough
The role:
We’re looking for a scientifically curious and technically expert Lead Scientist to join our Analytical Development team. This is a pivotal role for someone who thrives on solving complex problems, leading from the bench, and working to deliver high-quality, data-driven solutions.
If you bring strong expertise in potency ELISA, cell-based assays, and/or SPR/Biacore, this is your opportunity to make a real impact in a collaborative, fast-paced environment.
This is a fully site‑based role. Working together in person supports close, real‑time collaboration and the technical precision needed to manufacture medicines to the highest quality and safety standards.
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 dependant on role and location
The full list of our global benefits can be also found on https://www.lonza.com/careers/benefits
What you will do:
Lead and deliver multiple complex analytical projects, ensuring high-quality outcomes right first time – this will include method development, establishment and (pre-) validation activities
Lead the implementation of new technology and customer-specific methods
Act as a technical expert in potency ELISA and cell-based methods and/or SPR/Biacore
Design, plan and execute complex experimental strategies, translating customer needs into practical solutions
Analyse and interpret data to generate robust scientific insights and process understanding
Present data, troubleshoot issues, and shape project direction
Mentor and coach junior scientists, building capability across the team
Drive innovation and continuous improvement
Lead investigations, identify risks early, and ensure timely, effective resolution
What we are looking for:
Degree or Master's qualification in Life Sciences or a related scientific discipline.
Strong laboratory experience in analytical or bioanalytical development
Proven expertise in potency ELISA and cell-based assays, including method development and troubleshooting and/or strong experience with Biacore/SPR techniques and data interpretation
Proven ability to lead complex projects and influence outcomes across multiple teams and sites
Confident communicator, able to translate complex data into clear, actionable insights
Passion for mentoring, collaboration, and driving scientific excellence
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.
How we rate this
Lead Scientist – Potency, ELISA & Cell-Based Analytics at Lonza rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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