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.
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 proteomics for small sample inputs, with a focus on extending coverage and sensitivity for proteins within fibroblast samples. In corporation with consortium partners, data generated will be analyzed for a multi-omic approach to analysis, with the goal of implementation of findings into the clinic.
Developing methods for low sample inputs for proteomics in high resolution mass spectrometry, with applications in neuromuscular diseases
Optimizing workflows for LC-MS to improve sample coverage and recovery from a single skin biopsy sample
Analysis and evaluation of proteomic data with state-of-the-art MS analysis software
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 proteome analysis from biological material
Experience with common proteome software analyses such as Spectronaut and experience in analyzing complex proteomic datasets
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
A wide range of opportunities for further training and qualifications
Flexible working times, mobile working and attractive social benefits
Support in finding balance between work and family life (including finding childcare facilities, advice on caring for relatives) through a family service
Workplace health promotion and support for participation in TU Dortmund University sports activities
Non-residents who apply for this job will receive help from the institute to find accommodation and to handle authorities. Applications from disabled applicants are welcome. ISAS supports the principle of equal opportunity for all employees and therefore particularly encourages women to apply.
The salary will be according to the German TV-L. The full-time position is available immediately. It is fixed-termed and limited to 27 months within the project duration until August 31, 2027.
ISAS collects and processes the personal data of its applicants in accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at www.isas.de/datenschutzhinweise-fuer-bewerberinnen-und-bewerber.
The closing date for applications is January 31, 2025. Please apply via the "Apply now" button. Informal requests (reference number 337_2024) are welcome and can be directed to the Human Resources team (bewerbungen(at)isas.de). Further information about the institute can be found at: http://www.isas.de/en.