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Data Scientist

Bachem AG

Bubendorf · Hybrid 5d ago

About the role

About

To drive our continuous organic growth, we are constantly looking for highly qualified professionals. To strengthen our team in the Digital Manufacturing department, we are looking for a dedicated Data Scientist (f/m/d), 100%.

Responsibilities

  • Analyze manufacturing and process data across the full production lifecycle and deliver meaningful insights for operations, engineering, and quality.
  • Develop advanced analytics to support CPV, root‑cause investigations, and process improvements. Support batch reporting and data extraction.
  • 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.
  • 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.
  • Support investigations, risk assessments, and continued process verification with data‑driven evidence and analysis.

Requirements

  • 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.
  • Solid knowledge of German is a strong plus.
  • Experience in the pharmaceutical, chemical, or biotech industry, ideally in process development or MSAT.
  • Knowledge of MES, LIMS, or automation systems (e.g., PLC/SCADA) and how they integrate with data analytics platforms.

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
  • A wide range of free sports activities on the Bachem Campus

Application

Would you like to drive innovation together with us?

We look forward to receiving your complete application documents via our application portal.

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

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Requirements

  • 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.
  • Solid knowledge of German is a strong plus.
  • Experience in the pharmaceutical, chemical, or biotech industry, ideally in process development or MSAT.
  • Knowledge of MES, LIMS, or automation systems (e.g., PLC/SCADA) and how they integrate with data analytics platforms.

Responsibilities

  • Analyze manufacturing and process data across the full production lifecycle and deliver meaningful insights for operations, engineering, and quality.
  • Develop advanced analytics to support CPV, root ‑ cause investigations, and process improvements.
  • Support batch reporting and data extraction.
  • 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.
  • 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.
  • Support investigations, risk assessments, and continued process verification with data ‑ driven evidence and analysis.

Benefits

internal development and training opportunitiesFlexible working hourshome office daysoption for obtaining additional vacation days through workload reductionCompany‑run daycare center60% coverage of pension fund contributionsoption for extra‑mandatory pension provisionAccess to benefits platforms with discounts from external partnersfree sports activities

Skills

Power BIPythonRSQLTableauTIBCO SpotfirePI Data ArchivePI AFPI Vision

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