Research fellow; m​/f​/d field of Machine learning and Biomedicine

Organisation/Company Humboldt-Universität zu Berlin Research Field Computer science » Other Medical sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Final date to receive applications 11 Feb 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 39,4 Offer Starting Date 15 Mar 2026 Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme Reference Number DR/006/26 Is the Job related to staff position within a Research Infrastructure? No

Faculty of Life Sciences - Department of Biology

Research fellow (m/f/d) in the field of Machine learning and Biomedicine

with expectedfull-time employment - E 13 TV-L HU(third-party funding limited until 31.12.2026 with possible extension)

Prof. Ohler's research group focuses on decoding and designing gene regulatory networks through high-throughput genomics and applied machine learning. The successful candidate will contribute to our focus on the application of explainable AI for decoding and designing gene regulatory sequences.

• scientific services in research within the project of the DFG-funded AI research group “Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data (DeSBi)”
• development of deep neural networks and machine learning algorithms for the analysis of extensive omics data
• adaptation and application of methods from explainable artificial intelligence to understand gene regulation at different levels of abstraction
• adaptation and application of foundation models for omics data
• development and documentation of scalable benchmarks and/or pipelines for training interpretable models
• application and validation of the approaches on (single-cell) data from the laboratory (Max Delbruck Centrum Berlin,  ) and from cooperation partners
• presentation of research results at internal and external meetings and conferences and publication in scientific journals

Requirements:

• completed scientific university degree and,if applicable, PhD: eitherin computer science, data science, bioinformatics, or a related field with a focus on machine learning; or in other areas of natural sciences with extensive experience in statistical methods and machine learning for the analysis of biomedical data
• excellent programming skills (e.g., in Python, Num Py/Sci Py, PyTorch/Tensor Flow)
• experience working with cluster/GPU computing resources is desirable
• excellent verbal and written communication skills and the ability to work effectively in a collaborative team environment
• strong problem-solving and analytical skills as well as the ability to think creatively
• very good command of written and spoken English (at least B2)

Please send your application(includinga cover letter, CV, relevant certificates, transcripts and contact information for at least two references) until 11th February 2026
, referencingthe job idDR/006/26 to Humboldt-Universität zu Berlin, Faculty of Life Sciences, Department of Biology,Prof. Dr. Uwe Ohler(address:

Hannoversche Str. 28, 10115 Berlin), Unter den Linden 6, 10099 Berlin, or preferably via email as a PDF file to .

The position is scheduled to be filled on March 15, 2026.

The Humboldt-Universität zu Berlin is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration history are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only.

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