Laboratory Technical Assistant or Engineer for Proteomics and LC-MS | Technische/n Assistent/in (m/w/d) oder Ingenieur/in (m/w/d)
MPI f. Hirnforschung
Job Summary
This role involves working at the joint Mass Spectrometry Laboratory of the Max Planck Institute for Brain Research and the Max Planck Institute for Biophysics in Frankfurt. You will be responsible for the day-to-day operation of high-end LC-MS systems, including calibration, quality control, maintenance, and troubleshooting. Your tasks will range from routine sample processing and data evaluation (such as protein identification and quantification) to developing advanced preparation and LC-MS methods for diverse scientific projects like shotgun proteomics and metabolomics. This position is ideal for a candidate who enjoys technical precision and collaborative research in an international environment. It offers the unique opportunity to work with state-of-the-art analytical equipment and contribute to cutting-edge biological-medical research. The role provides the benefits of the German public service (TVöD), extensive professional development opportunities, and a family-friendly workplace with on-site childcare and flexible working arrangements.
Required Skills
Education
Completed vocational training as a Technical Assistant (CTA/BTA) or a university degree (Master/Diploma) in Chemistry, Biochemistry, Biophysics, or a related engineering field.
Experience
- Professional experience as a Technical Assistant (CTA/BTA) or Engineer in Chemistry, Biochemistry, or Biophysics
- Practical experience operating mass spectrometers and HPLC systems, preferably Thermo and Bruker equipment
- Experience in checking, maintaining, and troubleshooting LC-MS systems is highly desirable
- Experience with DIA and DDA methods, search algorithms, and statistical analysis
- Professional background working in a Mass Spectrometry facility or research environment
Languages
Additional
- The position is initially limited to a two-year contract with the possibility of permanent employment. Candidates must be able to present scientific data and communicate effectively within an international team.