Process Analytics & Operational Data Intelligence Expert; m​/f​/d

Relocation assistance is available for eligible candidates and their families, if needed.

• Agile career and dynamic working culture
• Inclusive and ethical workplace
• Compensation programs that recognize high performance
• Competitive salary and lifestyle, family, and leisure benefits. Full list of tailored local benefits in Visp can be found at (Use the "Apply for this Job" box below)./3wjkoFi

• 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 while identifying opportunities 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.

• Strong passion for analyzing complex process and manufacturing data and 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, and utilized within 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.

• 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 as Seeq, SIMCA, Statistica, Power BI, PI System, Azure, Git, or comparable platforms.

• Experience in a CDMO environment or knowledge of mammalian manufacturing / bioprocess development.
• Interest in process behavior, variability, GMP‑related support, and continuous improvement.