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Kristin Reiche

5 days ago

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

Degree Level

Postdoc

Field of study

Oncology

Funding

Full funding available
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Country

Austria

University

Interdisciplinary Transformation University

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Keywords

Oncology
Immunology
Computer Science
Immunotherapy
Biomedical Engineering
Biology
Precision Medicine
Software Engineering
Medical Science
Bioinformatic
Transcriptomic
Machine learning

About this position

Interdisciplinary Transformation University (IT:U) in Linz, Austria, is offering two full-time postdoctoral positions in Digital Molecular Medicine, with a contract duration of up to four years. The positions are embedded in the research group led by Professor Kristin Reiche, focusing on advancing precision medicine through the integration of biomedical data science, medical bioinformatics, research software engineering, and advanced molecular diagnostic tools.

The group’s research targets 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 interoperability. Special emphasis is placed on advanced medical therapies such as adoptive cellular immunotherapies, with the aim of developing 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 for collaboration with leading national and international research institutions, participation in the EU-funded CERTAINTY project (a cellular immunotherapy virtual twin for personalized cancer treatment), and clinical partnerships in immuno-oncology and oncology. International mobility and exchange are supported, including access to research networks, conference presentations, and potential research stays at partner institutions.

Professional and personal development is encouraged within an innovative, interdisciplinary team at the intersection of data science, biomedicine, bioinformatics, molecular diagnostics, and software engineering. The research environment is stimulating and diverse, with flexible working hours, home office options, free parking or Climate Ticket Upper Austria, and an office kitchen with complimentary supplies. The annual gross salary starts at €67,000.

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, proficiency in Python and 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, regulatory frameworks for medical bioinformatics, and knowledge of virtual patient models or digital twin technologies.

IT:U values diversity and encourages applications from all backgrounds. The start date is 1 April 2026 or later. For further information, contact Dr. David Bancelin ([email protected]). Apply online via the application portal.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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