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Veröffentlicht: 2. June 2026
Postdoctoral Researcher (f/m/d, E13 TV‑L, 100%)
Prof. Dr. Nico Pfeifer’s Chair for Methods in Medical Informatics, Department of Computer Science at the University of Tübingen, distinguished as excellent by the Federal Government of Germany, is inviting applications for a
3‑year Postdoctoral Researcher Position
(f/m/d, E13 TV‑L, 100%)
Please find more information on https://uni-tuebingen.de/en/university/careers/newsfullview-job-advertisements/article/postdoctoral-researcher-f-m-d-e13-tv-l-100/
Veröffentlicht: 1. June 2026
Postdoctoral Researcher (f/m/d) in Medical Bioinformatics (University Medical Center Göttingen)
We are seeking a
Postdoctoral Researcher (f/m/d)
Full-time (100%) TV‑L · initially 2 years (with option of extension)
About Us
The Department of Medical Bioinformatics at the University Medical Center Göttingen is a leading research group in the bioinformatic analysis of biomedical high-throughput data. Our work focuses on the development of biomarker signatures, statistical methods, and machine learning approaches for personalised and systems medicine.
We are embedded in multiple DFG- and BMBF-funded collaborative research projects, with a strong focus on the analysis of cancer omics data — including genomics, transcriptomics, and spatial transcriptomics — and the development of innovative AI and machine learning methods. We work in close collaboration with clinical and experimental partners in national and international research consortia.
Your Tasks
- Analysis and integration of cancer multi-omics datasets (transcriptomics, epigenomics, drug-response data)
- Development of machine learning and AI models for biomarker discovery and prediction of treatment response
- Application and further development of graph-based learning methods enriched with biological pathway and drug–target knowledge
- Benchmarking of novel models against existing computational approaches
- Interpretation of results in close collaboration with clinical and experimental consortium partners
- Independent management of bioinformatics sub-projects and contribution to project coordination
- Preparation and submission of scientific manuscripts and reports
Your Profile
- PhD in Bioinformatics, Computational Biology, Computer Science, or a closely related field
- Proven experience in machine learning or deep learning applied to biomedical data
- Strong programming skills in Python, R, or similar languages
- Expertise in the analysis of large-scale omics datasets (e.g. transcriptomics, methylomics, drug-response data)
- Experience with graph-based methods or network biology is an advantage
- Track record of scientific publications appropriate to career stage
- Ability to work independently and lead projects, while collaborating effectively in an interdisciplinary team
- Excellent written and spoken English; knowledge of German is advantageous
What We Offer
- A leading research environment at the intersection of AI, multi-omics, and translational cancer medicine
- Collaboration with national and international clinical and experimental partners
- Access to large-scale biomedical datasets and state-of-the-art computing infrastructure
- Salary according to TV‑L (full-time, 100%) for an initial period of 3 years, with the possibility of extension
- Additional occupational pension scheme (VBL)
- Company health management programme and sports facilities
- Support for career development, conference attendance, and international networking
- A position in Göttingen — a vibrant university city with a rich scientific tradition
Diversity & Inclusion
The University Medical Center Göttingen is committed to professional equality for all genders and actively works to achieve gender balance across all areas. We warmly welcome applications from severely disabled persons, who will be given preferential consideration in the case of equal suitability in accordance with applicable regulations. Please indicate any disability or relevant status in your application to ensure your interests are protected.
How to Apply
Please submit your application (CV, cover letter, and relevant certificates) by 12.06.026via the following link:
https://umg.recruiting-portal.com/r/z10iypob1b9umbp/Postdoctoral+Researcher+fmd/37075/G%C3%B6ttingen
Please note that travel and application costs cannot be reimbursed.
We look forward to receiving your application!
Veröffentlicht: 1. June 2026
PhD Student (f/m/d) in Medical Bioinformatics (University Medical Center Göttingen)
We are seeking a
PhD Student (f/m/d)
Part-time (65%) · TV‑L · 2 years (with option of extension)
About Us
The Department of Medical Bioinformatics at the University Medical Center Göttingen is a leading research group in the bioinformatic analysis of biomedical high-throughput data. Our work focuses on the development of biomarker signatures, statistical methods, and machine learning approaches for personalised and systems medicine.
We are embedded in multiple DFG- and BMBF-funded collaborative research projects, with a strong focus on the analysis of cancer omics data — including genomics, transcriptomics, and spatial transcriptomics — and the development of innovative AI and machine learning methods. We work in close collaboration with clinical and experimental partners in national and international research consortia.
Within these research groups, we offer ambitious young scientists the opportunity to work at the forefront of research in Medical Bioinformatics. Possible topics for doctoral theses are deeply rooted in the analysis of complex datasets and the development of methods essential for progress in the treatmemt of cancer.
We are looking for PhD candidates interested in statistical data analysis, machine learning methods, gene regulation, bioinformatics, and integrative omics approaches.
Your Tasks
- Analysis of cancer multi-omics data (transcriptomics, epigenomics, metagenomics)
- Development and application of statistical and machine learning approaches for biomarker discovery
- Integration of multi-omics datasets across patient cohorts
- Processing and analysis of NGS-based datasets and bioinformatics pipelines
- Contribution to the interpretation of results in close collaboration with clinical and experimental partners
- Support in data and project management
- Preparation of scientific manuscripts and reports
Your Profile
- Sc. or Diploma in Bioinformatics, Computer Science, Data Science, Biology, or a related field
- Solid understanding of biological and biomedical concepts, particularly in the context of cancer or genomics
- Experience and strong interest in machine learning, statistical modelling, and data science
- Proficiency in at least one programming language (Python, R, or similar)
- Familiarity with NGS data analysis and bioinformatics workflows is an advantage
- Enthusiasm for working with large, complex, and heterogeneous datasets
- Interest in interdisciplinary research and collaboration across multiple institutions
- Excellent written and spoken English; knowledge of German is advantageous
- High motivation, initiative, and the ability to work both independently and as part of a team
What We Offer
- An exciting research environment at the interface of bioinformatics, AI, and cancer medicine
- Structured mentoring and a supported onboarding process
- A diverse, interdisciplinary, and multi-professional working environment
- Access to state-of-the-art bioinformatics infrastructure and large-scale biomedical datasets
- Salary according to TV‑L (part-time, 65%) for an initial period of 3 years, with the possibility of extension
- Additional occupational pension scheme (VBL)
- Company health management programme and sports facilities
- A position in Göttingen — a vibrant university city with a rich scientific tradition
Diversity & Inclusion
The University Medical Center Göttingen is committed to professional equality for all genders and actively works to achieve gender balance across all areas. We warmly welcome applications from severely disabled persons, who will be given preferential consideration in the case of equal suitability in accordance with applicable regulations. Please indicate any disability or relevant status in your application to ensure your interests are protected.
How to Apply
Please submit your application (CV, cover letter, and relevant certificates) by 12.06.2026 via the following link:
https://umg.recruiting-portal.com/r/z01r7ubt7k6t97q/PhD+Position+fmd/37077/G%C3%B6ttingen
Please note that travel and application costs cannot be reimbursed.
We look forward to receiving your application!
Veröffentlicht: 29. May 2026
Postdoc in Computational Biology: Leading the EpiFlaMe consortium
Postdoc in Computational Biology
Leading the EpiFlaMe consortium
(Memory in Epithelial Cells — Organ Specificity and Cancer)
The group: The candidate will be part of the Computational Systems Biology group at the University of Salzburg, which is headed by Nikolaus Fortelny (https://plus.ac.at/fortelny). The group is focused on integrating single-cell/spatial multi-omics data with biological knowledge using AI/ML and other computational approaches in cancer and immunology research. We focus on approaches that produce robust, reliable, and ideally interpretable results.
The project: EpiFlaMe (Memory in Epithelial Cells — Organ Specificity and Cancer: https://plus.ac.at/epiflame) is a large consortium of seven research groups dedicated to understanding inflammatory memory in epithelia. The postdoc will be supported by a bioinformatics technician to coordinate and perform integrative bioinformatic data analysis of multi-omics profiles generated by these various groups, focusing on producing a consortium flag-ship publication (similar to Fortelny et al., Nature Immunology, 2024). The project focuses on understanding epithelial inflammatory memory and its relationship with cancer development. Using multi-omics profiling, innovative organoid cell cultures and in-vivo models the consortium will create the first systematic molecular map of inflammatory memory in epithelial cells across multiple organs. The goal of the EpiFlaMe research program is to lay the foundation for future therapies that can treat chronic inflammatory diseases and help prevent tumor formation in an organ-specific way.
The place: The city of Salzburg has ample natural and cultural attractions as well as fast connections to Vienna and Munich. It is surrounded by beautiful lakes and mountains, with various opportunities for recreational and sports activities. The university has 18 000 students, and a highly collaborative research environment in both biomedical and computational sciences.
Qualifications:
* PhD in biology, bioinformatics, biotechnology, computer science, statistics, physics, or similar
* Excellent scientific thinking and communication, high level of motivation and drive
* Programming (R/python) and other quantitative skills (statistics, AI/ML, network biology)
* Experience with (multi-)omics integrative data analysis, single-cell / spatial data, and/or CRISPR screens
* An understanding of and interest in immunology
* Excellent English and communication skills, especially communication with wet-lab biologists
Details:
* Start date: as soon as possible
* Duration: end of 2029 (project may then be prolonged for 4 years)
* Salary and work hours according to Austrian funding regulations
* Place of work: Salzburg, Austria
Our offer:
* Experience in coordinating a large research consortium focused on how immunology drives cancer
* Cutting-edge academic environment (https://scholar.google.at/citations?user=IHjaqgkAAAAJ)
* Being part of an international, interdisciplinary, and fun team and consortium
* Opportunities for self-growth through courses for hard and soft skills
* Participation in conferences and project meetings
* Excellent social benefits of working in Austria (holidays, health insurance)
* Environment that values a healthy work / life balance
Application:
https://survey.plus.ac.at/index.php/282137
Deadline:
None — we hire on a rolling basis.
We look forward to hearing from you!
Veröffentlicht: 20. May 2026
Postdoctoral Researcher — Computational & Translational Analysis of Pulmonary Nodules
The Division of Computational and Molecular Prevention of the DKFZ, in collaboration with the Translational Molecular Imaging in Oncologic Therapy Monitoring Unit, invites applications for a postdoctoral researcher to join an interdisciplinary research program within the PRELUNG study, focusing on early lung cancer detection and biological characterization of pulmonary nodules.
This position combines cutting-edge multimodal data analysis with patient-centered translational research, including a novel co-design initiative on the return of molecular and imaging data to study participants.
Project Background:
Pulmonary nodules from hundreds of patients are being collected and biopsied as part of a prospective imaging study. Up to 40 FFPE biopsy samples will be analyzed using spatial transcriptomics and mutREAD DNA sequencing, enabling integrative analysis of spatial gene expression, tissue architecture, and genomic alterations at early stages of lung carcinogenesis. The postdoctoral researcher will play a central integrative role, leading unbiased computational analyzes, biological interpretation, and biomarker discovery in close collaboration with clinicians, pathologists, and technology experts across multiple research groups.
Scientific & Computational Responsibilities:
- Lead unbiased, data-driven integration of:
- Spatial transcriptomics data
- Genomic alteration profiles (copy number alterations, SNVs)
- Histopathological diagnoses and clinical metadata
- Radiomic features (in collaboration with imaging specialists)
- Perform unsupervised clustering and pattern discovery without predefined diagnostic labels
- Interpret molecular and microenvironmental states of benign, premalignant, and malignant pulmonary nodules
- Identify and prioritize biomarkers for:
- Liquid biopsy development
- PET tracer target discovery
- Contribute to validation strategies (e.g. immunohistochemistry) in collaboration with pathologists
- Lead the preparation of high-impact, interdisciplinary publications
Translational & Collaborative Responsibilities:
- Act as a scientific integrator across multiple collaborating research groups
- Communicate effectively with clinicians, pathologists, imaging scientists, and molecular technologists
- Maintain reproducible and well-documented analysis workflows
Patient Engagement & Return-of-Data Work Package:
- Actively participate in a participant-driven co-design process to develop a framework for returning molecular and imaging data to study participants
- Contribute scientific content to patient workshops and plain-language communication materials
- Co-facilitate workshops together with ethicists, communication experts, and institutional partners
- Help synthesize participant feedback into structured outputs, including:
- A return-of-data blueprint
- Prototype participant reports
- An evaluated framework for future implementation
YOUR PROFILE
- PhD in computational biology, bioinformatics, systems biology, biomedical data science, cancer biology, or a related field
- Strong experience in omics data analysis, ideally including single-cell or spatial transcriptomics
- Proficiency in R and/or Python and modern data-analysis workflows
- Experience with unsupervised learning, clustering, and integrative analysis
- Ability to translate computational findings into meaningful biological and translational insights
- Strong interest in early cancer detection and biomarker discovery
- Exceptional interpersonal and communication skills
- Excellent communication skills across diverse audiences (patients, clinicians, computational scientists)
- Empathy, active listening, and comfort engaging with non-expert stakeholders
- Ability to discuss uncertainty and non-actionable findings responsibly
- Confidence contributing to group facilitation without reliance on hierarchical authority
- A collaborative, inclusive, and respectful working style
Applicants are encouraged to highlight concrete evidence of these skills (e.g. patient-facing research, public engagement, teaching, facilitation, or interdisciplinary leadership).
You can look forwad to:
- Active involvement in innovative patient-centered research initiatives
- Close interaction with clinicians, pathologists, and technology developers
- Opportunity to lead high-impact publications
Application:
Interested applicants should submit the following documents via our online application tool:
- A cover letter describing your scientific interests and motivation for this interdisciplinary and patient-engaged role
- Curriculum vitae
- Contact details of 2–3 references
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