{"id":3613429,"url":"https://alion.io/job/avenga-r-developer","title":"R Developer","company":{"id":181252,"name":"Avenga","domain":"avenga.com","url":"https://alion.io/company/avenga","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":77,"open_postings":27,"ghost_share":0,"stale_share":0.926,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Docker","optional":false},{"name":"ggplot2","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GraphQL","optional":false},{"name":"Plotly","optional":false},{"name":"R","optional":false},{"name":"Rest API","optional":false},{"name":"Shiny","optional":false},{"name":"Unix","optional":false},{"name":"Bioconductor","optional":true},{"name":"CI/CD","optional":true},{"name":"FastAPI","optional":true},{"name":"JavaScript","optional":true},{"name":"JQuery","optional":true},{"name":"Next-Generation Sequencing","optional":true},{"name":"Python","optional":true},{"name":"Selenium","optional":true},{"name":"Single-Cell Sequencing","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-02T15:22:43Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-05T12:23:21Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"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. \nAt the core of the role\nstart date: 18/01/2027\nAbout 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.\nTechstack:\nR (shiny, R6, ggplot2, tidyverse, testthat)\n\nPython (FastAPI, pydantic, async, Motor)\n\nMongoDB z GridFS\n\nAPI (REST oraz GraphQL)\n\nDocker\n\nGithub Actions\nCore skills you’ll bring\n\nMid:\n1. Minimum 2 years of experience in coding in R\n2. Experience in developing R packages\n3. Good knowledge of Shiny\n4. Good knowledge of plotly, ggplot packages\n5. Good knowledge of using version system control (Git)\n6. Good knowledge of bash command line and Unix environment\n7. Knowledge of using Docker is a plus\n8. Knowledge of HTML, JavaScript, jQuery and CSS is a plus\n9. Knowledge of mongoDB, SQL is a plus\n10. Knowledge of unit testing is a plus\n11. English at least at B2 level\n12. Good understanding of biological concepts and experimental methods commonly used in molecular biology and interest to learn more\n13. Experience with Bioconductor libraries\n14. 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\nSenior:\n1. Minimum 4 years of experience in coding in R\n2. Experience in developing R packages\n3. Very good knowledge of Shiny\n4. Very good knowledge of plotly, ggplot packages\n5. Good knowledge of using version system control (Git)\n6. Good knowledge of bash command line and Unix environment\n7. Knowledge of using Docker\n8. Knowledge of HTML, JavaScript, jQuery and CSS\n9. Knowledge of mongoDB, SQL is a plus\n10. Knowledge of unit testing is a plus\n11. English at least at B2 level\n12. Good understanding of biological concepts and experimental methods commonly used in molecular biology and interest to learn more\n13. Experience with Bioconductor libraries\n14. Experience with sequencing/genomic data analysis (NGS, e.g. RNA-Seq, WGS, scRNA-Seq) and familiarity with bioinformatics tools used to process such data\n15. Good knowledge of unit testing and front-end testing (i.e. R/Selenium, phantomjs)\nThe impact you'll create\n1) Development and maintenance of multiple R/shiny applications\n\n2) Development and maintenance of R packages to support R/shiny applications, analytical calculations, and visualizations\n\n3) Development and maintenance of APIs, both REST and GraphQL endpoints\n\n4) Visualization of data and analysis results in ggplot2, including manipulation of built objects\n\n5) Saving, reading, and updating documents in a NoSQL database\n\n6) Writing and maintaining unit and integration tests\n\n7) CI/CD in GitHub Actions\n\nPeople 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. 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