Postdoctoral Fellow in Biochemistry-Proteomics

Postdoctoral Fellow in Biochemistry-Proteomics

FMP - Leibniz-Forschungsinstitut für Molekulare Pharmakologie

Berlin, Germany

The successful candidate will collaboratively apply and develop proteomic approaches to study the protein composition of organelles at the nanoscale level to unravel how cellular organelle networks are rewired in response to physiological or pathophysiological stimuli. The project will be conducted jointly with the 'Structural Interactomics Group' led by Prof. Fan Liu (https://www.theliulab.com) at FMP. The position is to be filled as soon as possible and initially limited to two years.

The main focus of the Haucke lab is on the endolysosomal system that we study at multiple levels of analysis using a combination of biochemical/structural biological, genetic, and cell biological approaches [Lo et al Haucke, Nat Chem Biol 19, 18-27; Ebner et al Haucke, V. (2023) Cell 186, 5328-5346. doi: 10.1016/j.cell.2023.09.027; Lo et al Haucke (2022) Nat Struct Mol Biol. 29, 218- 228; Jang et al Haucke, V. (2022) Science 378, eabq5209. DOI: 10.1126/science.abq5209]. Current projects are supported by third-party grants including the European Research Council (ERC) and the German National Funding Agency (DFG).

Your profile:

We seek highly motivated, ambitious, and talented young scientists to join an enthusiastic and collaborative team in an outstanding scientific environment to perform research.

• Ph.D. in Analytical Chemistry, Biochemistry, Proteomics, or a closely related field, or equivalent combination of education and extensive practical experience;
• 5+ years of hands-on experience in proteomics with a proven track record of accomplishment, ideally involving low-abundance samples applications;
• 5+ years of practical experience operating, maintaining, and troubleshooting LC-MS instrumentation;
• Strong communication skills and the ability to collaborate effectively across multidisciplinary teams;
• Demonstrated experience in developing automated sample handling and data processing pipelines for high-throughput analyses;
• Proven experience managing laboratory operations, including quality system implementation, documentation and method validation.