
Postdoctoral Position in AI for biological data analysis and bioinformatics (f/m/d)
The Max Delbrück Center for Molecular Medicine in the Helmholtz Association aims to transform tomorrow’s medicine through our discoveries of today. At locations in Berlin-Buch, Berlin-Mitte, Heidelberg and Mannheim, our scientists collaborate across disciplines to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong academic, clinical, and industry partnerships, as well as global networks, we translate biological insights into innovations for early detection, individualized therapies, and disease prevention. Founded in 1992, the Max Delbrück Center is home to a vibrant community of 1,800 people from more than 70 countries.
The Berlin Institute for Medical Systems Biology (BIMSB) at the Max Delbrück Center (MDC), located in central Berlin, is seeking a highly motivated postdoctoral researcher with a strong computational background to develop new methods for analyzing multimodal data from genetic and pharmacological screens. The position in Dr. Jakob Metzger’s research group offers an exciting opportunity to contribute to a collaborative project aimed at developing novel phenotyping platforms for neurological disorders. The successful applicant will integrate multi-modal live imaging and omics data using AI-based pipelines to identify and refine early disease phenotypes, laying the groundwork for therapeutic intervention.
This position provides an excellent opportunity for candidates who want to work at the forefront of developing the next generation of biological analysis tools, screening and neurological disease research in a highly collaborative environment. The Max Delbrück Center also offers access to state-of-the-art facilities, as well as opportunities for professional development and career advancement.
Job Description
- Join an open, interdisciplinary team working at the intersection of computational biology, stem cell biology and neuroscience
- Collaborate closely with colleagues from experimental research
- Develop AI-based analysis pipelines for genetic screens and preclinical drug tests
- Contribute to the discovery of biological mechanisms, and promising drug candidates for treating neurological disorders
Requirements
- Ph.D. or equivalent degree in mathematics, physics, computer science, bioinformatics, or a related field
- Experience in developing deep learning models
- Ideally, prior experience in analyzing biological data
- Strong analytical, problem-solving and communication skills
- Ability to work successfully both independently in a multidisciplinary team of biologists, physicists, and computer scientists
- Excellent oral and written English skills
We offer
- international working environment with communication in English and German
- interesting career opportunities and a range of opportunities for further qualification and training
- Compatibility of family and career certified by the workandfamily audit (“berufundfamilie audit”)
- Support for "New Berliners" through the MDC Welcome & Family Office
You also benefit from:
- a remuneration in accordance with the collective agreement for the federal public service (TVöD-Bund), including additional company pension schemes
- a secure job
- flexible working hours and childcare support
- the possibility of mobile working
- an idyllic green campus, which is easily accessible by bicycle, public transport or car
- free use of Nextbike from the Buch S-Bahn station to the campus
- Subsidy for the job ticket as well as discounts in the campus canteen
- On-campus health and fitness center
- additional health benefits such as flu vaccination, eye test, ergonomics advice at the workplace
Please get in touch with any questions
Facts & figures
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If you have a foreign degree, please submit proof of the recognition of your Master's degree in Germany with your application. The proof can be determined via the anabin database and can be submitted as a PDF attachment to the application. Further information can be found at Recognition of Degrees and Achievments.
For information on fair mobility, click here: https://www.fair-labour-mobility.eu/.