Postdoctoral Researcher

The University Hospital Carl Gustav Carus and the Medical Faculty together form the Dresden University Medicine. It is committed to excellence in high-performance medicine, medical research and teaching, and healthcare services for patients of the entire region. Together for the top medicine of tomorrow – become part of the University Medicine Dresden. Postdoctoral Researcher (m/f/d) in the field of Metabolic-Vascular Medicine The position is to be filled as soon as possible on a full-time or part-time basis for 24 months. Remuneration is based on the classification regulations of the Collective Agreement for the Public Service (TV-L) and, provided the personal requirements are met, classification in salary group E13 is possible. The research group of Prof. Dr. Nikolaos Perakakis is looking for a highly motivated and talented postdoctoral researcher (maximum 6 years after doctorate) to strengthen our interdisciplinary team at the Technical University of Dresden. The focus of the work is on the integration of multi-omics data to better understand, diagnose, and treat metabolic diseases (e.g., obesity, diabetes, metabolically associated steatotic liver diseases). Our group is part of a dynamic scientific environment at TU Dresden and collaborates closely with national and international partners – for example within the German Center for Diabetes Research (DZD) and the TransCampus cooperation with King's College London. We analyze large clinical cohorts and experimental models to elucidate disease mechanisms and identify new biomarkers; we combine data from proteomics, metabolomics, and genomics/transcriptomics with machine learning methods.

Conduct integration of multi-omics data and advanced statistical analyses within ongoing and newly initiated projects on metabolic diseases Development and application of machine learning models for biomarker identification, patient stratification, and prediction of disease progression Collaboration with colleagues from clinical departments, bioinformatics, systems biology, and experimental researchers in a highly interdisciplinary environment Publication of scientific papers with high visibility and presentation of results at national and international conferences Participation in the supervision of doctoral candidates and junior scientists

Doctorate/PhD in Bioinformatics, Computational Biology, Systems Biology, Biostatistics, or a related field – (the degree should not have been obtained before 2021) Proven experience in the analysis of multi-omics data (proteomics, metabolomics, and/or genomics, transcriptomics) Sound expertise in machine learning and advanced statistical modeling Proficient programming skills in Python and/or R as well as experience with libraries for machine learning and omics analyses Experience in handling clinical and/or biomedical data and/or in epidemiological studies is highly desirable Demonstrable publication experience in relevant fields Experience in immunology and FACS analysis is an advantage Ability to work independently and collaborate in an interdisciplinary environment Excellent communication skills in English (written and spoken)

Remuneration: according to TV-L in salary group E13 plus annual bonus, provided personal requirements are met Vacation: 30 days of recreational leave Training: Extensive internal and external continuing education opportunities to continuously strengthen your competencies Corporate culture: We rely on transparency, team spirit, and shared success. Celebrate with us at joint events or sports events Mobility: Subsidy for job ticket to make your commute environmentally friendly and convenient Health: We promote your well-being with modern sports and exercise offerings in our health center, mental health programs, and comprehensive occupational health management Shopping benefits: Benefit from employee discounts in our hospital pharmacy, exclusive corporate benefits, and other shopping portals Work-life balance: Our family office supports you with questions about daycare places, holiday programs, and care of relatives. We also offer flexible working models