IT:U is a new technical university in Austria (Linz) dedicated to digital transformation, driven by interdisciplinary research and project-based learning to actively shape this transformation and advance it with a solution-oriented approach.
FIELD OF RESEARCH AND SCOPE Prof. Kristin Reiche, Professor of Digital Molecular Medicine, is looking for two Postdocs to join her research group to advance precision medicine by connecting biomedical data science, medical bioinformatics, (research) software engineering and advanced molecular diagnostic tools.
Her research group focuses on digital transformation in molecular medicine through research in:
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 and interoperability for medical bioinformatics.
Her research particularly targets advanced medical therapies like adoptive cellular immunotherapies, developing innovative digital solutions to understand their complex mechanisms of action aiming to advance personalized treatment strategies.
RESPONSIBILITIES
conducting research
writing academic publications
attending national and international conferences
collaborating with other research groups on an interdisciplinary basis
performing auxiliary activities in academic teaching for up to 2 weekly credit hours
helping to file applications for third-party funding
complying with the institution’s academic standards and ethical guidelines
QUALIFICATIONS You must have completed a PhD degree (or an equivalent) in computer science, bioinformatics, (computational) biological sciences, mathematics, physics, or other relevant fields.
ESSENTIAL REQUIREMENTS
strong foundation in machine learning (ML) and biomedical data science
proficiency in programming languages (Python, R) and ML/DL frameworks
solid experience with Unix/Linux and Git version control
core understanding of genetics, molecular biology, and immunology
publication record in peer-reviewed scientific journals
excellent communication and teamwork skills for interdisciplinary and international collaboration
fluency in English (written and spoken)
PREFERRED QUALIFICATIONS
hands‑on experience in single-cell multi‑omics and/or spatial transcriptomics data analysis
awareness of regulatory frameworks for medical bioinformatics and biomarker validation
knowledge of virtual patient models or digital twin technologies
WHAT YOU CAN EXPECT Collaborations
work with leading national and international research institutions
participate in the EU-funded CERTAINTY project – A cellular immunotherapy virtual twin for personalised cancer treatment (https://www.certainty-virtualtwin.eu/)
collaborate with our clinical partners in immuno-oncology and oncology
International mobility and exchange
access to international research networks in precision medicine and medical bioinformatics
opportunities to present research at leading international conferences
potential research stays at international partner institutions
Professional and personal development
work in an innovative, interdisciplinary team at the intersection of data science, biomedicine, bioinformatics, molecular diagnostics and software engineering
contribute to translational research with direct clinical impact
develop and/or deepen your expertise in bioinformatics and machine learning for single-cell multi‑omics, spatial transcriptomics, and biomarker development
Additional
innovative and stimulating working conditions in an interdisciplinary, international research environment
office kitchen with complimentary basic supplies
flexible working hours through a flextime model and the option for home office
Free parking or Climate Ticket Upper Austria
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