Pharmaceutical Production Technician / Chemical / Biological / Medical Technical Assistant | PTA/CTA/BTA/MTA/Pharmakant für Arzneimittelherstellung/Ansatz Ravensburg/Langenargen (m/w/d)

Vetter Pharma-Fertigung GmbH & Co. KG

Ravensburg, Württemberg, Baden-Württemberg, Deutschland
Published Dec 2, 2025
Full-time
Permanent

Job Summary

This role is vital for the sterile filling and packaging of injectable systems used to treat serious diseases like Multiple Sclerosis and cancer. The successful candidate will be responsible for the hands-on preparation of pharmaceutical solutions and equipment, including thawing active ingredients, weighing raw materials, adjusting pH levels, and filtering buffer and active solutions. A key part of the role involves continuous monitoring of cleanroom conditions, performing In-Process Controls (IPC), and meticulously documenting all tasks according to GMP standards. The ideal candidate holds a relevant technical qualification (e.g., CTA, BTA, PTA, MTA, or Pharmacist/Pharmaceutical Technician) and possesses a reliable, careful work ethic with a strong quality consciousness. This position operates within a 2-shift model, including weekends, and requires good German language skills (minimum B2) for optimal documentation and team communication.

Required Skills

Education

Completed vocational training as a Pharmaceutical Technician (Pharmakant), Chemical Technical Assistant (CTA), Biological Technical Assistant (BTA), Pharmaceutical Technical Assistant (PTA), Medical Technical Assistant (MTA), or a related technical field (e.g., Dairy Technologist, Maltster, Brewer); alternatively, a completed apprenticeship combined with the IHK Specialist Certificate for Pharmaceutical Manufacturing.

Experience

  • Professional experience in pharmaceutical or related technical fields is implied by the required qualifications
  • Experience with quality assurance and meticulous documentation

Languages

German (Fluent)

Additional

  • Ability to work within a 2-shift model, including weekends (for optimal utilization of the shift model).