The postdoc we look for has ...
- Hand-on experience in biomedical statistics, data science, big data analytics, deep learning, and/or machine learning method development
- Excellent skills in software development, in particular proficiency with R, Python and/or Java, and associated bioinformatics packages (e.g. Bioconductor)
- Ability to communicate research findings using e.g. interactive data visualization tools (e.g. R-Shiny, D3.js).
- Experience with bioinformatics workflows on Unix/Linux and cloud environments.
- Expert interdisciplinary communication skills, both verbally and in writing.
Together with the Computational Systems Biology lab of Prof. Dr. Jan Baumbach and 10 additional data-science-affine postdocs at the CDCS the postdoc is envisioned to fill the gap between small-scale structural biology and large-scale systems biology using self-developed novel computational tools. Using large-scale omics and structural data available at the different partner labs of the CDCS and with access to world-class bioinformatics labs, the successful candidate will be given a unique chance to develop computational tools to find mechanistic profiles, specifically in the framework of infectious diseases.
- Perform analysis on relevant biological problems (preferably in the field of infectiology or immunology) using a variety of bioinformatics workflows, including both omics and structural data
- Independent development of novel data science methods, their implementation and evaluation on this data generated in Hamburg
- Uncovering of structural protein driver changes (e.g. caused by alternative splicing) that influence the signal flow through molecular interaction networks and trigger the emergence of phenotypic changes
- Collaborate with biologists, chemists, physicists, and computer scientists to provide expertise in the biomedical data science for a variety of different molecular data types
- Present research results at lab and CDCS meetings as well as conferences, both national and international.
- Publish results