Applications providing analyses for in vivo researchers. First app provides study-level analysis of longitudinal data (e.g., Body Weight, Tumor Volume, Response Type, Signal Intensity from Image Analysis ROIs). Second app provides meta-analysis to estimate antitumor effects across multiple studies. For the coming year, we would like to expand the output of existing analyses as well as launch analysis of new endpoints.

Bioinformatician / R Shiny Developer 0,5 FTE

Your responsibilities

• Be technically opinionated, with demonstrated adherence to best practices in software engineering including appropriate use of abstraction, testing, usability, and version control to create sustainable and reusable software.
• Collaboratively and pragmatically solve scientific software engineering challenges encountered at the forefront of quantifying test article effects, particularly those related to the interactive visualization.
• Collaborate with local and off-shore engineering teams to support your software development efforts.

Our requirements

• BS or higher in bioinformatics, computer science or related field.
• 5+ years experience (including any graduate school) developing tools for data analysis.
• Expertise with R Shiny to develop effective interactive data analysis tools.
• MongoDB practical experience is required.
• Experience supporting data science activities using FAIR data management and reproducible practices.
• Experience with ggplot2, R6 and dplyr are not required but nice to have as well as basics of JavaScript and jQuery.
• Biological domain knowledge and basic data analysis skills are desirable but not required.
• Familiarity with Docker, Kubernetes and shinyproxy technologies is a plus.
• Familiarity with formal build/release/deploy and continuous integration frameworks (e.g., GitLab CI/CD) is a plus.