Process Analytics & Operational Data Intelligence Expert 80-100% (m/f/d)

Relocationassistanceis available for eligible candidates and their families, if needed.

Join thePADI teamand help unlock operational performance by connecting data, processes, and people. Working at the heart of Operations and Process Development,you’llcollaborate across functions to solve real manufacturing and process challenges through analytics and innovation. This is your opportunity to drive smarter decisions and shape the future of target="_blank">https://bit.ly/3wjkoFi

Whatyou’lldo:

• Build trusted, analytics-ready datasets by integrating, contextualizing, and structuring operational data from systems such as PI, MES, ELN, instrument platforms, and manufacturing data sources.

• Work closely with mammalian manufacturing and process teams to understand how operational data is generated, used, and interpreted within real manufacturing and GMP workflows.

• Analyze process trends, variability, bottlenecks, and performance drivers across batches, campaigns, and workflows using statistical and analytical techniques.

• Develop operational dashboards, analytical views, and process intelligence solutions used daily by MSAT, Process Development, Manufacturing, QA, and Operations teams

• Translate complex operational and manufacturing datasets into actionable insights and improvement opportunities that support process robustness and operational performance.

• Support GMP deliverables and reporting activities whileidentifyingopportunities to simplify, standardize, automate, and improve underlying data and operational workflows.

• Improve operational data quality, traceability, contextualization, and usability to enable scalable analytics and reliable decision-making.

• Collaborate closely with MSAT, Manufacturing, QA, Automation, IT, and global data teams to deliver scalable, operationally relevant, and production-ready data and analytics solutions.

What we are looking for:

• Strong passion foranalyzing complex process and manufacturing dataand translating it into actionable insights and scalable solutions

• Ability to think beyond reporting and leverage data to improve process understanding, operational performance, and decision-making

• Experience collaborating with manufacturing and process teams, ideally within mammalian production environments

• Strong interest in working at the intersection of process science, operational analytics, and digital transformation

• Good understanding of how data is generated, structured, andutilizedwithin operational environments

• Ability to clearly communicate complex analyses and translate them into practical recommendations for diverse stakeholders

• Hands-on mindset with a collaborative approach to cross-functional teamwork

TechnicalRequirements:

• Experience with process analytics, operational analytics, and industrial data environments

• Practical skills in SQL, Python, statistical analysis, and data visualization

• Understanding of data pipelines and ETL processes

• Experience with tools such asSeeq, SIMCA, Statistica, Power BI, PI System, Azure, Git, or comparable platforms

PreferredQualifications:

• Experience in a CDMO environment or knowledge of mammalian manufacturing / bioprocess development

• Interest in process behavior, variability, GMP-related support, and continuous improvement

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,Passionand Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, andthat’sthe 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. Ifyou’reready to help turn our customers’ breakthrough ideas intoviabletherapies, we look forward to welcoming you on board.

Ready to shape the future of life sciences? Apply now.