PhD Position in Computational Biology

vor 1 Woche


Berlin, Berlin, Deutschland MDC Vollzeit
Job Description

We are seeking a highly motivated PhD candidate to join our team at the Max Delbrück Center (MDC) in Berlin, Germany.

Key Responsibilities
  • Develop novel algorithms to infer cellular differentiation trajectories in the developing embryo from time-resolved single-cell RNA, spatial transcriptomics, and lineage tracing data.
  • Apply machine learning methods to integrate spatial transcriptomics data with other data modalities, such as single-cell transcriptome or advanced microscopy data.
  • Compare mouse embryonic development with various other species, including human, fish, and bird, as well as synthetic embryo models.
  • Analyze and compare synthetic organoid development with in vivo embryonic development.
  • Collaborate closely with experimental researchers.
  • Contribute to a highly interdisciplinary team, comprising data scientists and computational and experimental biologists.
Requirements
  • MSc degree in computational or natural sciences.
  • Strong computational or quantitative focus, preferably in computational biology, bioinformatics, mathematics, or a related field.
  • Excellent programming skills in Python or R, with experience in building efficient and reusable software a plus.
  • Strong communication skills, enabling effective collaboration with group members and scientific collaborators.
  • Solid statistical knowledge and experience with state-of-the-art machine learning methods.
  • Ability to work independently and tackle complex analysis tasks.
We Offer
  • An international working environment with English and German communication.
  • Interesting career opportunities and a range of possibilities for further qualification and training.
  • Compatibility of family and career certified by the workandfamily audit.
  • Support for "New Berliners" through the MDC Welcome & Family Office.
  • On-campus health and fitness center.
  • A stimulating and international research environment with excellent science.
  • Opportunity to work on cutting-edge biomedical data.
  • Chance to become an expert in single-cell genomics and machine learning approaches to biomedical data.
Additional Benefits
  • 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.
  • Subsidy for the job ticket.
  • Additional health benefits, such as flu vaccination, eye test, and ergonomics advice at the workplace.
  • The possibility of mobile working.


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