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engineer for a research project that links regulatory variation to molecular, cellular and organismal phenotypes using a systems genetics approach. The project is computational, and can be absed on data
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. General description of the DDLS program Data-Driven Life Science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS
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in managing and prioritizing tasks effectively. Ability to adapt to new technologies and actively keep updated within the field. Strong knowledge of molecular biology and genomics methods. Good ability
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for the position are: Adequate university degree, e.g. bachelor’s degree as a biomedical analyst or master’s degree in molecular biology, biomedicine or equivalent At least 2 years of documented practical experience
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-on laboratory experience in genomics, molecular or cell biology, or an equivalent field Collaborative abilities and willingness to work closely with other people Organized mindset Independence in seeking
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use of machine learning for data analysis, mathematical modelling, statistics and computational simulation of molecular biological data. The subject specifically aims to develop and apply machine
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molecular mechanisms related to health and the environment. Examples of thematic research areas that are currently being processed within SciLifeLab are clinical genomics/proteomics, cancer genome and the