Lonza

Title: Laboratory Systems Specialist Location: Slough Visa and Relocation support is offered with this role. Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. The role: The role of a Laboratory Systems Specialist is to lead the development and implementation of robust Lab/digital infrastructure within our R&D laboratories for the UK and US locations. This is pivotal in enabling efficient, automated data exchange between laboratory instruments and enterprise informatics systems such as Electronic Lab notebooks (ELN)s, Laboratory Information Management Systems (LIMS) and other relevant data setups. The ideal candidate would have experience in implementing robust digital infrastructures within lab environment automation. You will be pivotal in connecting scientific users, automation scientist, and IT teams together . Be willing to travel within the UK and Europe, accounting for approximately 10% of working time! Key responsibilities: Design, implement, and maintain secure, scalable IT/OT interfaces between lab instruments (e.g., bioreactors, plate readers, liquid handlers) and informatics systems (ELN, LIMS, SDMS, etc.) Collaborate with IT, Data science and scientific teams in R&D to identify integration needs and define architecture for real-time or scheduled automated data transfer. Develop or configure middleware, APIs, and custom connectors-either in- house or in collaboration with external vendors-to enable automated data capture, contextualization, and storage. Manage instrument network connectivity (e.g., OPC-UA, MQTT, REST APIs, TCP/IP) and data pipelines from edge devices to cloud/on-premise environments. Support system validation efforts (e.g., CSV, 21 CFR Part 11 compliance) in partnership with QA and IT Compliance teams, while also providing technical troubleshooting and support for instrument connectivity and data integration issues. Contribute to long-term digital strategy for lab automation, analytics, and operational efficiency. Support scale-up and tech transfer of automated workflows to operational areas or QC environments outside of R&D when needed. Participate in required Lonza training programs. Key requirements: Bachelor's or Master's degree in Computer Science, Engineering, Scientific or a related field. Experience in a similar IT/OT integration or lab informatics/digitalisation role within biotech, pharma, or CDMO environment. Proven hands-on experience integrating lab instruments with ELNs, LIMS, Scientific Data Management System (SDMS), or other data systems. Proficiency with data integration technologies and protocols: OPC UA, MQTT, REST/SOAP APIs, SQL, Python, etc. Familiarity with lab automation platforms (e.g., Tecan, Hamilton, Agilent, Beckman, Sartorius) and related data workflows. A good understanding of GxP, 21 CFR Part 11, data integrity principles, and validated environments is a plus. Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

Job Title: Senior Scientist Protein and Process Analytics - Part time 2.5 days Location: Slough, UK (Hybrid working possible - 2 days on site half day can be working from home) Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, theres no magic formula to how we do it click apply for full job details

Senior Bioinformatics Engineer - Pipeline Automat ion & Tool Development Relocation support and visa sponsorship available Location: Cambridge or Slough Travel: Travel between sites would be required Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. The role: The S enior Bioinformatics Engineer will be responsible for developing ef ficient and hi gh quality bioinformatic pipelines and data scienc e s oftware supporting the design, data processing, analysis, and reporting across Lonza R&D departments. They will be placed in the Bioinformatics & Data Science group and closely work with multi-disciplinary teams of bioinformaticians, lab scientists, biochemists and bioprocess engineers. Candidates for this role must have experience in developing and deploying multiple Nextflow pipelines in production environments! What you'll do: Develop and maintain reusable bioinformatic pipelines supporting experimental design and data analysis of R&D projects and customer offerings. Lead the development , deployment and onboarding of bioinformatic software for Lonza's multidisciplinary teams and customers . Implement framework s that en sur e standardization , reusability , and cost- and time-efficiency across bioinformatic pipelines and software. Drive digital innovation in biomanufacturing by enhancing data science, bioinformatics and statistical capabilities. Manage collaborations with internal stakeholders and external academic and commercial partners. Lead, mentor and train junior team members. What we're looking for: MSc or PhD in bioinformatics, computer science , data science or a related field , or equivalent experience . Must have experience in developing and deploying multiple Nextflow pipelines in production environments . Excellent knowledge with software engineering guidelines: version control (e.g., Git), CI/CD, containerization (e.g., Docker), and unit/pipeline testing frameworks (e.g. testthat , nf -test) . Proficiency in programming in R or python. E xperience in developing and deploying GUI-based bioinformatic tools facilitating experimental design and analyses. Broad expertise in analyzing and interpreting omics and other biological datasets, including statistical and visualization methods. Ability to lead projects and communicate complex bioinformatics concepts effectively in a business setting People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference. Lonza is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a qualified individual with disability, protected veteran status, or any other characteristic protected by law.

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. The role: We seek an adept expert to contribute significantly to our R&D team, bridging machine learning engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct, and uphold resilient machine learning operations (MLOps) pipelines that facilitate the complete lifecycle of AI models-from creation to implementation and supervision. Guarantee the successful deployment of machine learning and large language models (LLMs) in practical operational settings, transforming research findings into functional business tools. Facilitate the progress and examination of ML models, involving both standard machine learning and neural network-focused models, as requested by R&D teams. Develop standardized, reusable workflows that can be applied across different projects and scientific areas. Collaborate with scientists and engineers to incorporate AI solutions into daily R&D tasks. Implement tools for version control, testing, and continuous integration to ensure quality, security, and traceability of AI solutions. Develop automated reporting systems that make results from AI models easier to interpret, share, and act on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and large language models (LLMs), encompassing deployment, monitoring, and retraining. Familiarity with software engineering guidelines: version control (e.g., Git), CI/CD, containerization (e.g., Docker), and workflow orchestration. Knowledge of cloud platforms and scalable compute environments (Azure preferred). Understanding of data governance, model documentation, and reproducibility in a regulated or research-heavy context. Ability to align machine learning initiatives with business objectives in a scientific or regulated environment. Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. The role: As an Associate Principal Scientist at Lonza AG, you will lead scientific breakthroughs and drive innovative research to enhance lives through outstanding investigations. Situated in Slough, UK, you will play a vital role in our Protein and Peptide Analytics (PPA) R&D team, applying your expertise in protein interaction measurements to advance our projects. Your responsibilities include independent and team-based research, guaranteeing precise analytical project delivery and supporting our top-tier scientific direction. Your work will not only advance our technical capabilities but also encourage and mentor junior scientists within the team. Your expertise in quantifying antigen interactions for biopharmaceutical using diverse analytical methods is crucial! Key responsibilities: Plan and complete scientific activities including study development, method creation, laboratory tasks, scientific evaluation, mentoring of junior scientists, project oversight, and technology exploration. Evaluate and develop innovative protein interaction workflows to support biologics process development and drive innovation. Perform a range of analyses using SPR, ELISA, and related methods for the characterisation of proteins and their relevant post-translational modifications (PTMs) and critical quality attributes (CQAs). Analyse and interpret complex data, presenting findings to internal collaborators to inform project decisions. Take charge of scientific leadership within the team, facilitating collaboration across the Bio R&D department to align alliances and impact. Act as a Protein Interaction Subject Matter Expert (SME) in multiple collaborative projects, guiding analytical discussions, translating data into project context, and supporting decision-making processes. Key requirements: Degree or equivalent experience in Life Sciences or a related field, with a preferred focus on Biochemistry, Biomanufacturing, or Biotechnology. Extensive practical experience in an analytical laboratory with a focus on protein analysis. In-depth knowledge and practical expertise in SPR/ELISA for protein characterisation, including related hardware and software. Attitude towards innovation in the biologics field, with a keen interest in research and excellent scientific writing abilities. Robust foundation in proven analytical methods within the industry, with knowledge of innovative technologies and their applications in biotherapeutic characterisation. Strong communication and interpersonal skills, able to influence collaborators in a scientific capacity and accomplish technical projects within a matrix organisation. Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. The role: As a Business Development Specialist, you will play a pivotal role in Lonza's ambitious growth strategy. This outstanding opportunity allows you to build the future of our sales operations while working with a world-class team. Located in Slough, UK, you will collaborate closely with our Coordinated Biologics (INB) Business Development Managers across the EMEA territory. Your main focus will be early-stage prospecting, lead qualification, and conversion to sales. Additionally, you will support conference and event preparation, growing awareness of Lonza's outstanding BIO offerings in key biotech hubs. Key responsibilities: Conducting in-depth desk research on potential target customers, supported by Market Intelligence Prospecting and initiating outreach to target customers and consultants Following up on marketing-generated prospects to convert them into concrete leads and opportunities Liaising with internal teams such as Technical Sales (proposals), Commercial Development, and Licensing to ensure flawless alignment on technologies and value propositions Supporting conference preparation, including booth duty and partnering meeting outreach Applying lead generation tools like Zymewire, PharmaTargeting, and LinkedIn Sales Navigator for effective lead generation Key requirements: A technical degree or equivalent experience in Chemistry, Biochemistry, or Engineering An understanding of drug development processes or a keen ability to learn quickly A proactive, organized, and positive hunting attitude Outstanding ability to quickly establish rapport with prospects and comprehend their needs in relation to our offerings Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

Operational Excellence Specialist Location Manchester Hybrid Working Policy Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, theres no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people click apply for full job details

Operational Excellence Specialist Location Manchester Hybrid Working Policy Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, theres no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people click apply for full job details