Data Scientist Digital Manufacturing (a) 100%

Bachem; Bubendorf; Hybrid; CHF 120.000 - 160.000; Vollzeit

Benefits dieser Stelle

Daycare center on campus

60% pension fund contributions

Employee discounts on benefits

Staff restaurant

Sports activities on campus

Zusammenfassung

Bachem Holding AG in Bubendorf is seeking a Data Scientist for Digital Manufacturing to strengthen data analytics and build data-driven solutions across the production lifecycle. Work with PI Historian, MES, and OT/IT systems to connect data sources to analytics platforms.

You will collaborate with Production, TechOps, Quality, and IT to develop dashboards, reports, and insights, applying GMP knowledge and advanced analytics to improve processes and reporting.

Qualifikationen

• University degree in Data Science, Computer Science, Applied Mathematics, Chemistry, Engineering, or a related technical field
• Hands-on experience working with manufacturing or process data, ideally in a GMP or regulated environment
• Solid programming skills (e.g., Python, SQL, R) and experience with analytical or visualization tools (PI Vision, Power BI, Spotfire, Tableau)
• Familiarity with GMP, data integrity (ALCOA+), and validation activities related to analytics and data systems
• Dedicated, self-driven personality who collaborates across a fast-paced operational environment

Aufgaben

• Develop advanced extraction capabilities and analytics to support CPV, root-cause investigations, and process improvements
• Contribute to end-to-end concepts for data pipelines connecting PI Historian, MES (PAS-X), PCS, and other OT/IT systems to analytical or reporting platforms
• Manage and expand Bachem's data analytics capabilities, including dashboards, reports and ad-hoc analyses
• Serve as a functional expert for the PI System (PI Data Archive, PI AF, PI Vision) and support end users in retrieving, structuring, and interpreting time-series data
• Support investigations, risk assessments, and continued process verification with data-driven evidence and analysis
• Analyze manufacturing and process data across the full production lifecycle and deliver meaningful insights for operations, engineering, and quality

Kenntnisse

Python

SQL

R

PI Vision

Power BI

Spotfire

Tableau

Data Visualization

GMP

Ausbildung

University degree in Data Science / CS / Math / Engineering

Tools

PI Historian

PI Vision

Power BI

Spotfire

Tableau

Jobbeschreibung

Data Scientist Digital Manufacturing (a) 100%

Bachem is a leading, innovation-driven company specializing in the development and manufacture of peptides and oligonucleotides. With over 50 years of experience and expertise Bachem provides products for research, clinical development and commercial application to pharmaceutical and biotechnology companies worldwide and offers a comprehensive range of services. Bachem operates internationally with headquarters in Switzerland and locations in Europe, the US and Asia. The company is listed on the SIX Swiss Exchange. For further information, see www.bachem.com .

As Data Scientist Digital Manufacturing (a) 100% you will strengthen Bachem's Digital Manufacturing and Data Analytics capabilities within Group TechOps. Using PI Historian, manufacturing data from diverse sources, and advanced data science methods, you will develop data-driven solutions, enhance reporting, and deepen process understanding across the production lifecycle. You will collaborate closely with Production, TechOps, Quality, Automation, IT, and external partners.

• Develop advanced extraction capabilities and analytics to support CPV, root - cause investigations, and process improvements. Support batch reporting and data extraction
• Contribute to end-to-end concepts for data pipelines connecting PI Historian, MES (PAS-X), PCS, and other OT/IT systems to analytical or reporting platforms
• Manage and expand Bachem's data analytics capabilities, including dashboards, reports and ad-hoc analyses
• Serve as a functional expert for the PI System (PI Data Archive, PI AF, PI Vision) and support end users in retrieving, structuring, and interpreting time - series data
• Support investigations, risk assessments, and continued process verification with data - driven evidence and analysis
• Analyze manufacturing and process data across the full production lifecycle and deliver meaningful insights for operations, engineering, and quality

Your profile:

• University degree in Data Science, Computer Science, Applied Mathematics, Chemistry, Engineering, or a related technical field
• Hands-on experience working with manufacturing or process data, ideally in a GMP or regulated environment
• Solid programming skills (e.g., Python, SQL, R) and experience with analytical or visualization tools (PI Vision, Power BI, Spotfire, Tableau)
• Ability to understand manufacturing processes and translate operational needs into data visualization, algorithms, and analytical solutions
• Familiarity with GMP, data integrity (ALCOA+), and validation activities related to analytics and data systems
• Dedicated, self - driven personality who enjoys taking initiative and collaborating across a fast - paced operational environment

Our offer:

• A dynamic and rapidly growing work environment with internal development and training opportunities
• Flexible working hours with home office days and an option for obtaining additional vacation days through workload reduction
• Company-run daycare center on the Bachem Campus in Bubendorf
• 60% coverage of pension fund contributions by Bachem AG as well as option for extra-mandatory pension provision with our Pension Plan Plus
• Access to benefits platforms with discounts from external partners
• Fresh, healthy and varied food in our staff restaurant
• A wide range of free sports activities on the Bachem Campus

Would you like to drive innovation together with us?

Learn more about the Bachem Group and get inspired by our exciting work environment at our location in Bubendorf!

At Bachem, you'll find a diverse, multicultural team. The (a) in the job title stands for all. We welcome applications from all candidates. What matters are your skills and motivation - regardless of age, gender, background, religion, or sexual orientation.