Job Description
The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early diagnosis, and therapy of diseases like cardiovascular diseases, autoimmune diseases, or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry, pharmacology, physics, and computer science. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states.
At our location in Dortmund in the group Spatial Metabolomics we invite applications for a
Scientist / Postdoc (m/f/d)
This position will be to fulfill the work outlined in the consortium project ‘B2B-RARE: Bench to bedside – Mechanisms of rare diseases and personalized treatment', funded by EFRE-NRW. This work will heavily involve the development and implementation of LC-MS based metabolomics for small sample inputs, with a focus on extending coverage and sensitivity for multitudes of metabolites within fibroblast samples. In corporation with consortium partners, data generated will be analysed for a multi-omic approach to analysis, with the goal of implementation of findings into the clinic.
- Developing assays for low sample inputs for metabolomics in high resolution mass spectrometry, with applications in neuromuscular diseases
- Optimizing workflows for LC-MS to better improve sample coverage and recovery from a single skin biopsy sample, with a pharmacometabolomic approach
- Design of experiments and communication/integration with collaboration partners
- Preparation and submission of scientific outputs, including research publications and representation at conferences (national and international)
- University degree (Ph.D. or similar) in Biotechnology, Biochemistry, Analytical Chemistry or similar
- A background in analytical sciences, with required experience in high resolution LC-MS/MS such as Orbitrap technologies and Thermo Scientific based MS instruments
- Required experience in sample preparation for metabolite analysis from biological material
- Experience with common metabolomic software analyses such as MetaboAnalyst and Progenesis QI
- Ability to work in a structured manner, independently and within a team
- Programming skills are a benefit but not required
- Very good knowledge of English (written and spoken), with German as a benefit
- Scientific development opportunities in an international cooperative, interdisciplinary research environment and an excellent working atmosphere in a very dynamic and professional team
- Extensive state-of-the-art equipment and infrastructure
- The opportunity to present your data on international conferences and participate in workshops