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or Python desired)
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. The ability to understand and write basic Python code is an asset. A solid understanding of one or more areas of biology, such as cancer, immunology or genetics, is very important. A good understanding
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bioinformatics workflows and related visualizations in R and Python within an HPC environment is a requirement. Prior experience in analyzing and interpreting results of various omics data types is needed
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, or probabilistic modeling, and be proficient in Python and modern machine-learning frameworks (ideally PyTorch). Experience with single-cell transcriptomics, epigenomics, proteomics, spatial omics, or multimodal
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conform to the expected result of the indicator. Creates proof of concept scientific workflows and documentation examples. Provides expertise in R and python coding to facilitate data analysis and workflow
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statistical analysis. Familiarity with Agile/Scrum, version control (Git, Azure DevOps), and BI testing frameworks. Experience with Power BI REST API, PowerShell, or Python to automate deployment, metadata
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). The Bioinformatics Analyst position corresponds to junior members of the team with expertise in large-scale genomic analyses, software development using R and Python, and High-Performance and Cloud computing
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/code review/documentation experience, both individually and for a team Advanced programming skills in Python and C++ Proven experience in software project management, including producing time and effort
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(e.g., SolidWorks, AutoCAD) and printer operation. Proficiency in coding languages such as MATLAB, Python, or C/C++, with the ability to develop custom scripts and algorithms for data analysis and
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the potential for high quality research impact. · Ability to design research and outreach tools (e.g., R, Python packages, web pages, workshop materials) with in-depth knowledge of applications and the