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R Developer / Bioinformatic

AvengaPolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano30 października 2026
Wykryte przez nas
Wykryte przez nas31 października 2026
Zarobki
Zarobki140 - 170 PLN

Avenga is looking for an experienced R Developer and Bioinformatician to join a project focused on creating advanced web applications for the statistical analysis of preclinical studies. You will be responsible for modeling longitudinal data, developing analytical libraries, and building robust visualization tools to support complex research processes.

Key responsibilities

  • Development and maintenance of multiple R/Shiny applications and supporting R packages.
  • Building and maintaining REST and GraphQL APIs to facilitate data integration.
  • Creating and customizing data visualizations using ggplot2 and related libraries.
  • Managing data operations within NoSQL databases, including document updates and retrieval.
  • Implementing unit and integration tests to ensure high code quality and system reliability.
  • Utilizing CI/CD pipelines via GitHub Actions for automated deployment processes.

Requirements

  • Proven professional experience in R programming, including package development and Shiny application design.
  • Strong proficiency in data visualization tools such as ggplot2 and plotly.
  • Solid understanding of Unix environments, bash command line, and Git version control.
  • Good grasp of biological concepts, experimental methods, and experience with Bioconductor libraries.
  • Ability to communicate effectively in English at a B2 level or higher.
  • Familiarity with bioinformatics tools for processing genomic data like NGS, RNA-Seq, or WGS.

What we offer

  • Opportunity to work on innovative projects at the intersection of software engineering and bioinformatics.
  • Fully remote work environment allowing for flexible collaboration across distributed teams.
  • Access to modern tech stacks including Python, FastAPI, MongoDB, and Docker.
  • Professional development through exposure to complex statistical modeling and large-scale data analysis.

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