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spoken English. Experience in Python and/or R. Experience with Linux and Bash. Experience with bulk, single-cell or single-nucleus RNA-sequencing data. Ability to troubleshoot and resolve
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engineering, for example using Python or PySpark. Software engineering practices such as Git, CI/CD and automated testing. API-based and other application integration patterns. Semantic modelling and business
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-forming protein biology In vitro reconstitution and lipid bilayer systems Biosensor development or biology–electronics integration Basic programming skills (Python or similar) Familiarity with protein
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, and problem-solving skills Programming experience in Python or a similar scientific language Interest in machine learning and data-driven modelling Excellent written and spoken
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-forming protein biology In vitro reconstitution and lipid bilayer systems Biosensor development or biology–electronics integration Basic programming skills (Python or similar) Familiarity with protein
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, and problem-solving skills Programming experience in Python or a similar scientific language Interest in machine learning and data-driven modelling Excellent written and spoken
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, including Teams and SharePoint. Familiarity with IT support tools such as ticketing systems, device management platforms or monitoring tools is a plus. Scripting skills such as PowerShell, Python or Bash
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bioinformatics, computational biology, or related field. Strong experience with NGS data analysis and scripting (Python/R). Familiarity with immune repertoires, protein sequence analysis, and HPC
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bioinformatics, computational biology, or related field. Strong experience with NGS data analysis and scripting (Python/R). Familiarity with immune repertoires, protein sequence analysis, and HPC
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Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across