Postdoc Medical Data Science

Medizinische Fakultät, Institut für Translationale Bioinformatik (TBI), reference number. 7974

Full-/Part-time:

50 - 100 %

Limited:
24 months 1

Start of work:

as soon as possible

Application deadline:

30.10.2026

TV-L

i.d.R. E13 2

Your tasks

• Data Assesment, Cleaning, Harmonization, Quality Control of multi-omics NAPKON data to make the dataset ML-ready
• Data Preparation for ML-oriented use cases
• Data Archiving and Provisioning into Secure Processing Enviroment (GHGA)
• Implementation of a real world ML-application on a Long COVID Scenario with clinical relevance

We are looking for

• PhD, preferably in Medical Informatics or Bioinformatics
• Strong knowledge and experience with ML data analysis methods and their data requirements
• Demonstrated experience with sensitive individual-level human biomedical, clinical or omics datasets
• Strong expertise in biomedical metadata, data models, ontologies, clinical/data dictionaries and FAIR principles, including preparation of datasets for repository deposition
• Understanding of secure federated data analysis and data governance

Benefits

You will work in a cooperative academic working atmosphere on the modern and international Campus „Technologiepark“

Modern Environment

• innovative university hospital
• state-of-the-art technology
• world-class international research
• excellent career prospects

Work-Life-Balance

• flexible working time models
• mobile working options
• family-friendly working conditions
• long-term account & company seniority days (TV UK)

Health & Well-being

• occupational health service
• sports groups
• preventive health courses
• discounts on fitness offers

Meaningful Work

• contributing to improving people’s quality of life

Internationality

• cultural & generational diversity
• support through language courses
• integration programmes (nursing)

Research

• cutting-edge research at the highest level
• support from PhD to professorship

About us

The Faculty of Medicine is one of the four founding faculties of the Eberhard Karls University of Tübingen. With its non-clinical facilities as well as its research and teaching area corresponding to the organisational units of the University Hospital, it is one of the largest medical training and research institutions in Baden-Württemberg.

Institut für Translationale Bioinformatik (TBI)

The TBI group at the University Hospital Tübingen operates at the intersection of medical informatics and bioinformatics. As part of the Department for Information Technology and Applied Medical Informatics (DITAMI) and by its close connection to the Interfaculty Institute for Bioinformatics and Medical Informatics (IBMI) at the University of Tübingen the TBI concentrates interdisciplinary expertise for successful translational research in the Digital Life Sciences and the comprehensive and widespread education of qualified researchers. To address the clinical and molecular complexity of COVID-19 and PCS/Long COVID, the German National Pandemic Cohort Network (NAPKON) has established one of the most comprehensice research infrastructures globally (https://napkon.de). However, a big part of the data still needs to be harmonized and annotated semantically. We aim to establish a curated, FAIR-compliant corpus of NAPKON multi-omics and clinical data that can be used to develop, apply and validate ML and AI methods and models for COVID-19 or PCS research. Especially, we will deposit selected data into the secure processing enviroment of the German Human Genome-Phenome-Archive (GHGA). This is a DFG-funded project in cooperation with other universities.

Contact for questions

Marc Mausch

07071 29-70419

Online application to

Marc Mausch

Index number: 7974

Including CV and cover letter

Application deadline: 30.10.2026

We offer remuneration in accordance with TV-L (collective wage agreement for the Public Service of the German Federal States), severely handicapped persons with equal qualifications are given preferential consideration. Interview expenses are not covered. Please note the applicable vaccination regulations. The employer actively promotes equal opportunities and particularly encourages applications from women.

1 Continued employment will be sought whereever possible.

2 The data provided does not constitute a basis for an employment contract at the University Hospital of Tübingen. It is intended to serve as a rough guide for all interested parties. Remuneration is governed by the applicable collective bargaining agreements in conjunction with the corresponding pay scales.