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, located at SciLifeLab in Solna. The teams’ work is structured within three areas: Data flow, Analysis and Systems development. The chosen candidate will get a varied role and will participate in different
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learning analyses, but also with other types of analysis. The work involves supporting Swedish researchers under a user fee-based support model. The projects will differ in complexity and length and will
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of projects could also be included. Work can include, but is not limited to, development of pipelines in Nextflow or Snakemake, scripting in Python and/or R, and running large-scale analyses efficiently in HPC
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advanced biostatistics/machine learning analyses, but also with other types of analysis. The work involves supporting Swedish researchers under a “user fee-based” support model. The projects will differ in
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omics data. The candidate should develop, set up, maintain and update bioinformatics pipelines to integrate tumor data from different technologies (including genomics, transcriptomics and proteomics
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analysis or machine learning methods (iii) Programming knowledge in Python (iv) Very good oral and written communication skills in English (v) Strong skills in cooperation and communication Additional
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and expertise will strengthen an application: proven experience with Unix command-line interface (CLI) and Bash scripting proficiency in a higher-order programming language like Python or R experience
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Python, R, Matlab, or another widely used language in data science. Strong communication skills, and proficiency in spoken and written English. We are looking for a candidate with a Master’s degree in
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learning, deep learning and relevant software framework (R and Python) is highly desired. Very good oral and written communication skills in English are required. Emphasis will also be given on personal
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, engineering physics, biomedicine, or similar Documented skills in data-driven analysis (machine learning using python with TensorFlow, PyTorch, or similar) and computational statistics Specific knowledge of big