Design, develop, test and deploy interactive R Shiny web applications. Worked on R packages like Data.Table, dplyr, tidyr, ggplot2, shiny dashboard among others. Write clean, efficient and well documented R code, conduct R code reviews and R programming validation Implement unit tests and ensure the quality and performance of applications. Benchmark and optimize application performance. Identify inconsistencies and initiate resolution …/knowledge/experience: R Data structures (vectors, lists, matrices, dataframe)/Data manipulation and cleaning using dplyr/Data manipulation and cleaning using dplyr/Data visualization using ggplot2 (other plotting libraries)/working with different data formats (CSV, Excel, JSON, database)/Jenkins/GitHub/BDD frameworks/Agile ScrumDesirable skills/knowledge/experience. * Free services More ❯
in Computer Science, Bioinformatics, Statistics, Mathematics, Pharmaceutical Sciences, or a related field Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc.). Experience working in bioinformatics, pharmacometrics, or computational biology is a plus. Experience with relational databases (e.g., SQL) and knowledge of data integration practices. Ability to More ❯
in Computer Science, Bioinformatics, Statistics, Mathematics, Pharmaceutical Sciences, or a related field Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc.). Experience working in bioinformatics, pharmacometrics, or computational biology is a plus. Experience with relational databases (e.g., SQL) and knowledge of data integration practices. Ability to More ❯
London, England, United Kingdom Hybrid / WFH Options
European Bioinformatics Institute | EMBL-EBI
Graph databases (e.g.: Neo4J), Triple store technologies. Relational databases and SQL (Oracle and PostgreSQL experience desirable) R, Python, Java, Javascript, and common libraries for data science and visualisation (Pandas, ggplot2 etc.) Familiarity with conventional machine learning and deep learning, including training models and developing pipelines Familiarity with natural language processing concepts and techniques Experience developing and working in collaboration with More ❯
working with data (from a previous research or industry internship or extensive course projects) using a wide range of tools and languages: Python (Pandas, XGBoost/LightGBM), R (dplyr, ggplot2), and git Ability to see solutions and opportunities that others do not see High level of commitment and reliability, good balance of pragmatism and perfectionism Business proficiency in German Bonus More ❯
