Manufacturing Process Analyst: On‑Floor Data, GMP & Python

ITech Consult AG; Rotkreuz; On-site; CHF 120,000 - 160,000; Full time

Job summary

ITech Consult AG is seeking a Manufacturing Process Analyst (m/f/d) for Roche Diagnostics International AG in Rotkreuz. You will combine data-driven insights with on-floor troubleshooting to ensure compliant, robust production processes.

The role requires German (B2+) and English, 3–5 years on production floors, and hands-on use of Python or R for data analysis. Expect close collaboration with cross-functional squads and a pragmatic, proactive problem-solving approach.

Qualifications

• 3 to 5 years of practical experience on the production floor.
• Fluent in German (B2+) and English.
• Able to read and interpret data in Python or R without being a software developer.
• Shop-floor presence at least three days a week to understand machine issues.

Responsibilities

• Identify and solve gaps in production processes focusing on robustness, control strategy, and equipment.
• Drive improvements with digital tools, new technologies, or equipment upgrades.
• Monitor KPIs, detect early deviations with control loops, and implement in-process quality controls.
• Plan and execute DoE across lab and manufacturing environments for scale-up of new lines.
• Collaborate with shop-floor technicians and cross-functional teams to align solutions with reality and engineering goals.
• Create and maintain robust GxP documentation and change records.

Skills

Engineering background

Automated production

Python/R

GxP experience

English/German (B2+)

Education

Engineering/Physics/Materials Science

Tools

Python

SQL

Snowflake

Job description

ITech Consult AG is seeking a Manufacturing Process Analyst (m/f/d) for Roche Diagnostics International AG in Rotkreuz. You will combine data-driven insights with on-floor troubleshooting to ensure compliant, robust production processes.

The role requires German (B2+) and English, 3–5 years on production floors, and hands-on use of Python or R for data analysis. Expect close collaboration with cross-functional squads and a pragmatic, proactive problem-solving approach.