Descrizione
start date: 18/01/2027 About the project: The project is creating web applications for the statistical analysis of preclinical studies. As part of the analysis, longitudinal data are modeled, then visualized and reported. The project involves the development and maintenance of several R and Python libraries, including integration with the study data acquisition system, user-generated data manipulation, and customization of visualizations.
A separate module is used to conduct meta-analyses based on multiple studies. The analysis results are then shared with an external service via asynchronous API endpoints. Description: 1) Development and maintenance of multiple R/shiny applications 2) Development and maintenance of R packages to support R/shiny applications, analytical calculations, and visualizations 3) Development and maintenance of APIs, both REST and GraphQL endpoints 4) Visualization of data and analysis results in ggplot2, including manipulation of built objects 5) Saving, reading, and updating documents in a NoSQL database 6) Writing and maintaining unit and integration tests 7) CI/CD in GitHub Actions Techstack: R (shiny, R6, ggplot2, tidyverse, testthat) Python (FastAPI, pydantic, async, Motor) MongoDB z GridFS API (REST oraz GraphQL) Docker Github Actions Bioinformatic Mid: 1.
Minimum 2 years of experience in coding in R 2. Experience in developing R packages 3. Good knowledge of Shiny 4.
Good knowledge of plotly, ggplot packages 5. Good knowledge of using version
Descrizione completa, azienda e link per candidarti: dopo l'accesso.
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