Scientist / IT Specialist in Automated, Cross-functional Data Handling with a Focus on Mass Spectrometry in the Environment of Pharma Research and Early Development (m/f)

Germany, Bavaria, Penzberg

Large Molecule Research (LMR) in Pharma Research and Early Development (pRED) is responsible for the discovery and the early technical development of innovative, antibody based, multispecific therapeutic proteins. As part of LMR, you will work as an IT and data management specialist in the department Mass Spectrometry (MS). In this function you are involved in the development of innovative and efficient solutions for high throughput sample data and MS data handling and integration in departmental and superordinate, interdisciplinary project data warehouses.
 
This IT focused scientist position in the department Mass Spectrometry includes the following responsibilities:
 
  • Independent conception, development and implementation of smart IT solutions for sample information, data, and experimental result flows in automated, robotic sample preparation and coupled liquid chromatography-MS analysis workflows
  • Development and implementation of IT concepts to efficiently integrate sample information and MS datasets into project databases and retrieve them again in a customized and user-oriented manner
  • Contribution to and implementation of smart IT solutions for efficient integration and exchange of MS results within project teams and with other functional units in the LMR organization
  • Integration of data handling solutions into the landscape of LMR data workflows.
  • Contribution to the optimization of fast, automated data processing procedures for tailored, efficient assessment of MS spectra
  • Close collaboration in engaged teamwork with colleagues involved in wet-lab MS automation development, MS software development and to align IT concepts
  • Collaborating in a matrix with automation technology groups and teams of data handling specialists from partner technical functions in LMR to develop and implement an elaborated LMR-wide data integration and data mining system
  • Leading on demand department and/or LMR specific teams to develop and implement anticipated IT-systems