The University Medical Center Göttingen (UMG) unites the Medical Faculty of the Georg-August University and the University Hospital in an integration model. With around 9,700 employees, the UMG and its subsidiaries are one of the largest employers in the region. Our clinics and institutes stand for high-quality patient care, excellent research, modern teaching and transfer of innovative technology.

Göttingen as a city of science is located in the center of Germany and the University Medical Center Göttingen is integrated into an attractive network of university and non-university scientific institutions.

The Institut für Medizinische Bioinformatik of the University Medical Center Göttingen is looking for a new position for the earliest start date

Postdoctoral Researcher (f/m/d)

full time, 38,5 hours per week, for 2 years

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 qualifications

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

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

Our goal as University Medical Center Göttingen is professional equality for all genders. We strive to equalize the gender ratio in areas where there is underrepresentation. The University Medical Center Göttingen is particularly committed to the professional participation of severely disabled people and therefore welcomes applications from severely disabled people. In the case of equal suitability, applications from severely disabled persons will be given preferential consideration in accordance with the relevant regulations. We kindly ask you to indicate a disability/equal status in your letter of application in order to safeguard your interests.

We look forward to receiving your application!