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, AWS Glue, Talend, etc.). Proficiency in SQL, Python, and/or other programming languages commonly used in data engineering as well as data transformation tools (e.g. DBT). Solid understanding of database
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. Preferred experience with: Relational databases (SQL, MySQL, PostgreSQL) Programming or scripting languages (Python, PowerShell) Solid grasp of core IT concepts (networking, operating systems, user account
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(Excel or Power BI) and in at least one data science tool (Python or R) and have prior experience working with other stakeholders to deliver successful learning outcomes. Experience in performance
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. Experience with next-generation sequencing and/or exome/whole genome sequence analysis. Computer programming (e.g. R/Python) and bioinformatics experience. Familiarity with NGS clinical testing, databases
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implementation of new virtualization, storage and backup systems; Scripting to automate routine tasks preferably using Python and/or Powershell. Familiarity with: Management of Enterprise solutions including
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experience with Python/R. Evidence of manuscript and/or report writing.
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conducting and reporting epidemiological studies using real-world data is essential. Proficiency in using statistical software packages such as R, Stata, SAS, or Python is also required. Strong organisational
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or solar-planetary science, with demonstrable expertise in imaging or spectroscopy of auroral emissions. Strong programming skills (e.g., Python or C++) and experience with space-based data analysis
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. Essential Functions Python Proficiency. Azure DevOps Experience. Front-end UI/UX Skills. Database Management. API Integration and Development. Proficiency in image management and machine/deep learning related
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analysis in Python or R Experience analyzing next-generation sequencing (NGS) data Experience with mass spectrometry-based immunopeptidomics data analysis is a plus Hands-on expertise with version control