Current Open Positions
Scientific Internship in Bioinformatics/ Medical Data Science Group
We are seeking a motivated local student to join a research project focused on method development in bioinformatics. The internship is part of an ongoing effort to develop unsupervised learning approaches for spatial transcriptomics data, with the goal of inferring cell type distributions across tissue sections.
Project Focus
* Implementation and comparison of existing unsupervised learning methods (particularly clustering algorithms) for spatial
transcriptomics data
* Development of a standardized evaluation pipeline to assess method performance
* Improvements to simulation approach and algorithmic design
The work will be conducted under the supervision of a PhD student and is embedded in an active research project. Regular in-person meetings are expected.
Eligibility
* Open to advanced B.Sc students and M.Sc students in Biology, Computational Biology and Bioinformatics, Computer Science, or related fields
* Must be a local student with availability for in-person work
* Required: Basic scientific programming proficiency in Python (numpy, pandas)
* Required: Interest in algorithm development and computational methods in biology
* Required: Ability to work independently and contribute ideas in a collaborative setting
* Preferred: Prior coursework in machine learning and familiarity with version control tools (git)
What You Will Gain
* Hands-on research experience in a well-established academic lab
* A dedicated workspace within our office
* Opportunity to extend the project into a thesis, subject to mutual agreement with the supervising team
Practical Information
* Duration: 8 weeks
* Start date: April 7, 2026 (earliest), can be later as well
* Time commitment: Full-time (preferred), Part-time arrangements may be considered on a case-by-case basis, particularly for students with overlapping academic commitments
* This internship may count as a lab rotation for some study programs (12 Cr.)
Application
Please submit a short statement about yourself and why your are interested to [malte.mensching-buhr@bioinf.med.uni-goettingen.de] with the subject line: Internship Application – [Your Name].
Deadline: March 15, 2026
Applications will be reviewed on a rolling basis; early submission is encouraged.
Contact:
Malte Mensching Buhr: malte.mensching-buhr(at)bioinf.med.uni-goettingen.de
Thesis offers
In our department five working groups with different focuses are working in the field of knowledge management, data analysis
generegulation, image processing and medical data science.
We offer places both for students of biological or medical degree programmes, as well as from computer science and chemistry.
In which areas you can successfully work, depends on motivation, previous knowledge and the planned duration of your work.
PhD and Dr.rer. nat.
We are currently not actively recruting, but initiative applications from highly motivated students or postdocs are welcome. Please send your application including a letter of motivation, CV, and certificates to Ms. Daniela Großmann.
Medical doctoral thesis
Depending on you background and interest we always try to find a topic within the framework of our research and projects for a medical doctoral thesis. If you are intersted in performing your thesis in our department, please contact our project manager Ms. Daniela Großmann.
Student assistant, practical course, Bachelor and Master theses
Depending on your field of study, please read our prerequisites/recommendations on our teaching page in advance. Within the scope of our projects, topics for final thesis (Bachelor, Master, PhD) in the Department of Medical Bioinformatics can always occur or if you as student are interested to work in the bioinformatic field (student assistant) please contact Daniela Großmann with some information about your background and motivation.
Also check out the topics and offers of our subgroups under Research and under Projects.

Contact
contact information
- telephone: +49 551 3961781
- e-mail address: daniela.grossmann(at)bioinf.med.uni-goettingen.de
- location: 2.107
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