JOB OVERVIEW

Specific Requirements

• Advanced R programming skills, documented experience in R package and R/Shiny apps development in line with best practices (documentation, testing, modularisation).
• Hands-on experience with Shiny framework
• Practical knowledge of data visualization techniques (familiarity with ggplot2 or plotly is a plus)
• Experience with version control/git
• Familiarity with Unix command line (advanced bash scripting skills would be a plus)
• Experience with containerization technologies (Docker)
• Experience with web applications development to create usable and responsive frontend solution
• Documented experience in building R Shiny production applications (maintainable solutions using R/Shiny)
• Being able to understand solution architecture and role of involved software components to implement R Shiny apps in a way that system does its job effectively and in a scalable way
• Good cross-technical teams communication skills to ensure the right solution is being developed looking from overall system perspective
• English at least at B2 level, ability to communicate fluently with English speaking team and business partners in writing and in the meetings

Nice to have

• Familiarity with SQL, relational and non-relational databases
• Experience with front-end testing solutions
• Working knowledge of JavaScript, HTML and CSS
• Experience with the usage of Bioconductor packages and familiarity with data structures commonly used in the Bioconductor package ecosystem
• Interest to learn biological concepts and biostatistical approaches commonly used in molecular biology
• Experience in working in international, distributed large teams
• Experience with agile methodologies (scrum)

Responsibilities

• Development of shiny modules and functions to extend an existing framework
• Development of novel shiny modules and functions based on user-guided specifications and integrating them with existing reactive Shiny apps
• Containerized deployment/devOps
• Performance profiling and streamlining of legacy codebases
• Unit/reactive/integration/end-to-end testing to enforce stability
• Managing reactivity across multi-module Shiny apps
• Using JavaScript code to customize and extend Shiny apps