Two PostDoc Positions in Digital Molecular Medicine

Interdisciplinary Transformation University (IT:U) in Linz, Austria, is offering two full-time postdoctoral positions in Digital Molecular Medicine, with a start date of April 1, 2026 or later. IT:U is a new technical university dedicated to digital transformation, emphasizing interdisciplinary research and project-based learning. The positions are within the research group of Professor Kristin Reiche, a leader in Digital Molecular Medicine, whose work advances precision medicine by integrating biomedical data science, medical bioinformatics, research software engineering, and advanced molecular diagnostic tools. The research group focuses on digital transformation in molecular medicine, including 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 publications, 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 participate in the EU-funded CERTAINTY project, collaborate with clinical partners in immuno-oncology and oncology, and access international research networks in precision medicine and medical bioinformatics. International mobility, research stays at partner institutions, and professional development are supported. Applicants must hold 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, peer-reviewed publication record, communication, teamwork, and fluency in English. Preferred qualifications include experience in single-cell multi-omics or spatial transcriptomics data analysis, regulatory frameworks for medical bioinformatics, biomarker validation, and knowledge of virtual patient models or digital twin technologies. The positions offer competitive compensation starting from €6,700,000 yearly gross salary, flexible working hours, home office options, and a supportive, diverse, and innovative research environment. Applications are encouraged from all backgrounds. For further information, visit the CERTAINTY project website or apply directly via the IT:U career portal.