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Data Scientist

vor 3 Monaten


Berlin, Berlin, Deutschland Max Delbrück Center Vollzeit
Data Scientist (m/f/d) Berlin-Buch | Max Delbrück Center

The Max Delbrück Center for Molecular Medicine (MDC) in the Helmholtz Association is an international biomedical research center dedicated to understanding the molecular mechanisms of health and disease with the goal to devise new diagnostics and medicines. The MDC is a member of the Helmholtz Association, Germany's largest scientific organization, and offers an engaging research environment with cutting-edge research infrastructure. Currently, ~1250 employees and ~500 guest scientists work at the Berlin-Buch and Berlin-Mitte campuses. Our diverse workforce is a core strength that inspires creativity and innovation at the MDC.

The MDC is committed to improving human health through transformative biomedical research. Our goal is to pioneer discoveries for preventing, treating, and ultimately curing disease.

The Animal Phenotyping Platform (APP) is a comprehensive preclinical phenotyping platform that performs MRI, micro-CT, high frequency ultrasound imaging, photoacoustic imaging, and a variety of in vivo optical imaging techniques.

Join the Max Delbrück Center (MDC) in pioneering innovative biomedical research as a Scientist (m/f/d) within our Animal Phenotyping Platform. This role focuses on the cutting-edge implementation of a radiome-based foundational AI model into preclinical imaging studies. Your work will leverage AI to analyze CT and MRI data from mice, contributing to groundbreaking research with real-world implications for understanding and treating disease.

Job Description
  • implement a Foundation Model into the animal phenotyping platform, focusing on Retrieval-Augmented Generation (RAG) and fine-tuning with mouse image data
  • utilize AI and machine learning techniques to analyze high quality preclinical CT and MRI images
  • perform in vivo and ex vivo imaging studies, ensuring proper animal handling and anesthesia
  • collaborate with interdisciplinary research teams, including AI and imaging experts to advance the project
  • develop and apply advanced AI algorithms for image data processing, visualization and analysis
  • maintain a compliant and safe laboratory environment
  • effectively acquire, store, and manage imaging data
  • maintain detailed electronic records of experimental procedures
  • troubleshoot and manage imaging equipment and AI tools
Requirements
  • Ph.D. in a relevant field with at least 2 years of postdoctoral research experience, or M.S. with at least 3 years of relevant research experience
  • strong background in AI, machine learning, and image data processing techniques
  • extensive experience with AI tools and frameworks (e.g., TensorFlow, PyTorch) is highly desirable
  • experience with MRI and/or CT imaging and AI applications in biomedical research
  • proficiency in small animal handling, including anesthesia and basic surgical procedures
  • excellent communication and writing skills to collaborate effectively with various research groups
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
  • On-campus health and fitness center

You also benefit from:

  • a remuneration in accordance with the collective agreement for the federal public service (TVöD-Bund), including additional company pension schemes
  • flexible working hours and childcare support
  • an idyllic green campus, which is easily accessible by bicycle, public transport or car
  • a secure job
  • Subsidy for the job ticket as well as discounts in the campus canteen
  • additional health benefits such as flu vaccination, eye test, ergonomics advice at the workplace
  • the possibility of mobile working
  • free use of Nextbike from the Buch S-Bahn station to the campus