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, serving the SciLifeLab infrastructure and the Data Driven Life Science (DDLS) research program. The Data Centre has a national assignment and operates a range of life science data and e-infrastructure
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) Programming: Advanced proficiency in Python, R, or similar programming languages. Bioinformatics background: Industry or academic experience in applying data science to biomarker discovery/validation studies
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of Python or a similar programming language. Experience in developing pipelines for data processing and management, such as Nextflow or similar systems. Knowledge of methods and applications in molecular
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excellence as evidenced by strong scientific publications and track record relative to career stage. Strong programming skills (Python or R) and familiarity with high-performance computing Preferred
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Master’s degree (masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits* Strong written and verbal communication skills in English Highly proficient in a programming language (C
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through the department’s involvement in engineering and master’s programs. Our research and teaching are conducted within seven divisions with different research focus. Read more about us here About the
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program based in Sweden that been systematically mapping the localization of human proteins in cells, tissues and organs during the past 20 years. For this project, we map the subcellular distribution
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experience with work with human cancer cell lines, stem cells, and/or immunohistochemistry is a plus Programming skills with Python or R is a plus Excellent communication skills A solid experimental or
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/or statistical modelling, demonstrated through thesis work and/or scientific publications. Solid programming skills, for example in Python (and/or R), and experience with relevant ML libraries (e.g
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for mass spectrometry data processing and data deposition. Knowledge in data analysis using open science programming languages (e.g. R and Python) is advantageous. About the employment This is a full-time