Data Scientist Digital Manufacturing (a) 100%

Bachem; Bubendorf; Hybrid; CHF 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working hours

Home office days

Vacation days via workload reduction

Daycare on Bachem Campus

Job summary

Bachem is seeking a Data Scientist for Digital Manufacturing (a) 100% to strengthen our Data Analytics capabilities across the production lifecycle. You will work with PI Historian data, MES PAS-X, PCS and OT/IT interfaces to deliver data-driven insights and improved reporting.

You will collaborate with Production, TechOps, Quality, Automation and IT to translate operational needs into dashboards and analytics. A GMP background and strong Python/SQL skills are essential.

Qualifications

• University degree in a technical field (Data Science, CS, Math, Engineering)
• Hands-on experience with manufacturing or process data in GMP or regulated environments
• Strong programming skills (Python, SQL, R) and data analytics/visualization tools
• Ability to translate manufacturing needs into data visuals, algorithms and analytical solutions
• Familiarity with GMP, ALCOA+ data integrity and analytics validation activities
• Self-driven, collaborative and proactive in a fast-paced manufacturing setting

Responsibilities

• Develop advanced extraction capabilities and analytics to support CPV, root-cause investigations and process improvements
• Contribute to data pipelines connecting PI Historian, MES PAS-X, PCS and OT/IT systems to analytics and reporting platforms
• Manage and expand Bachem’s data analytics capabilities including dashboards and ad-hoc analyses
• Serve as a PI System expert and support end users with time-series data retrieval and interpretation
• Support investigations, risk assessments and continued process verification with data-driven evidence
• Analyze manufacturing data across the production lifecycle and deliver actionable insights to operations, engineering and quality

Skills

Python

SQL

R

GMP awareness

Education

University degree in Data Science / CS / Mathematics / Engineering

Tools

PI Vision

Power BI

Spotfire

Tableau

Job description

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.

Your tasks:

• 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