Two PostDoc Positions in Digital Molecular Medicine Interdisciplinary Transformation University (IT:U) in Austria

Interdisciplinary Transformation University (IT:U) in Linz, Austria, is offering two full-time PostDoc positions in Digital Molecular Medicine. The university is dedicated to digital transformation, with a strong emphasis on interdisciplinary research and project-based learning. The positions are based in the research group led by Professor Kristin Reiche, focusing on advancing precision medicine by integrating biomedical data science, medical bioinformatics, research software engineering, and advanced molecular diagnostic tools.

The research group is at the forefront of digital transformation in molecular medicine, with projects spanning machine learning for single-cell multi-omics and spatial cell biology, patient-individual in silico models for risk and pathogenesis prediction, molecular biomarker discovery and validation, and software engineering for medical bioinformatics. The group is particularly interested in advanced medical therapies such as adoptive cellular immunotherapies, aiming to develop innovative digital solutions to understand complex mechanisms of action and advance personalized treatment strategies.

Postdoctoral researchers will contribute to research, academic publication, conference participation, interdisciplinary collaboration, academic teaching (up to 2 weekly credit hours), third-party funding applications, and adherence to academic standards and ethical guidelines. The positions offer opportunities to collaborate with leading national and international research institutions, participate in the EU-funded CERTAINTY project (a cellular immunotherapy virtual twin for personalised cancer treatment), and work with clinical partners in immuno-oncology and oncology.

International mobility and exchange are encouraged, with access to research networks in precision medicine and medical bioinformatics, opportunities to present at international conferences, and potential research stays at partner institutions. The team environment is innovative and interdisciplinary, combining data science, biomedicine, bioinformatics, molecular diagnostics, and software engineering, with a focus on translational research and direct clinical impact.

Applicants must have a PhD (or equivalent) in computer science, bioinformatics, computational biological sciences, mathematics, physics, or related fields. Essential skills include machine learning, biomedical data science, programming (Python, R), ML/DL frameworks, Unix/Linux, Git, genetics, molecular biology, immunology, publication record, communication, teamwork, and fluency in English. Preferred qualifications include experience in single-cell multi-omics or spatial transcriptomics, regulatory frameworks for medical bioinformatics, and knowledge of virtual patient models or digital twin technologies.

The positions offer competitive compensation starting from €67,000 yearly gross salary, free parking or Climate Ticket Upper Austria, flexible working hours, office kitchen with complimentary supplies, and potential research stays abroad. The university values diversity and encourages applications from all backgrounds.

To apply, submit your application via the online portal. For further information, contact Dr. David Bancelin at [email protected]. Demonstrate your expertise in machine learning, bioinformatics, and molecular medicine in your application materials.