R Developer

Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets. At the core of the role 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. Techstack: R (shiny, R6, ggplot2, tidyverse, testthat) Python (FastAPI, pydantic, async, Motor) MongoDB z GridFS API (REST oraz GraphQL) Docker Github Actions Core skills you’ll bring 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 system control (Git)
6. Good knowledge of bash command line and Unix environment
7. Knowledge of using Docker is a plus
8. Knowledge of HTML, JavaScript, jQuery and CSS is a plus
9. Knowledge of mongoDB, SQL is a plus
10. Knowledge of unit testing is a plus
11. English at least at B2 level
12. Good understanding of biological concepts and experimental methods commonly used in molecular biology and interest to learn more
13. Experience with Bioconductor libraries
14. Experience with sequencing/genomic data analysis (NGS, e.g. RNA-Seq, WGS, scRNA-Seq) and familiarity with bioinformatics tools used to process such data is a plus Senior:
15. Minimum 4 years of experience in coding in R
16. Experience in developing R packages
17. Very good knowledge of Shiny
18. Very good knowledge of plotly, ggplot packages
19. Good knowledge of using version system control (Git)
20. Good knowledge of bash command line and Unix environment
21. Knowledge of using Docker
22. Knowledge of HTML, JavaScript, jQuery and CSS
23. Knowledge of mongoDB, SQL is a plus
24. Knowledge of unit testing is a plus
25. English at least at B2 level
26. Good understanding of biological concepts and experimental methods commonly used in molecular biology and interest to learn more
27. Experience with Bioconductor libraries
28. Experience with sequencing/genomic data analysis (NGS, e.g. RNA-Seq, WGS, scRNA-Seq) and familiarity with bioinformatics tools used to process such data
29. Good knowledge of unit testing and front-end testing (i.e. R/Selenium, phantomjs) The impact you'll create
30. Development and maintenance of multiple R/shiny applications
31. Development and maintenance of R packages to support R/shiny applications, analytical calculations, and visualizations
32. Development and maintenance of APIs, both REST and GraphQL endpoints
33. Visualization of data and analysis results in ggplot2, including manipulation of built objects
34. Saving, reading, and updating documents in a NoSQL database
35. Writing and maintaining unit and integration tests
36. CI/CD in GitHub Actions People are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to a respectful environment where everyone can be themselves, share their ideas, and feel that they belong.