Stellenbeschreibung
Link: http://www.umg.eu (CompanyWebsite)
- Gegründet: 1994 (CompanyFounded)
- Mitarbeiteranzahl: 5.001 bis 10.000 (CompanyEmployee)
Branche: Gesundheitswesen (CompanyIndustry)
- Stellenbeschreibung
- Anstellungsart
- Vollzeit
Arbeitsort
37075 Göttingen
Vollständige Stellenbeschreibung
Ihre Aufgaben
- 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
Ihre Qualifikationen
- 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
Wir bieten
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
Einleitungstext
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.
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