5 days ago

R Developer with Bio Background

Jobgether

Netherlands

5 days ago

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Join a mission-driven engineering team as an R Developer with a bio background, based in the Netherlands. You will design and develop data-driven applications for drug discovery and clinical research, combining software engineering with bioinformatics and clinical workflows. This fully remote role offers strong ownership and collaboration with experienced engineers and life science specialists.

RemoteFull-timeEntry LevelRR/Shiny

R Developer with Bio Background

Apply

RemoteFull-timeEntry LevelR

Salary

Not specified

Work Location

Netherlands, NL

Work Model

Fully remote opportunity across Europe, Poland, or LATAM with flexible working hours.

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

RR/ShinyStatistical AnalysisData ManipulationData VisualizationCDISCSDTMADaMSENDTLF ProgrammingGxPMedical Data ReviewPharmacovigilanceGitVersion Control

Soft Skills

CollaborationCommunicationProblem-solvingAutonomyOwnership

Preferred Qualifications

Technical (Nice-to-have)

NextflowBioinformatics ToolsMolecular BiologyBioconductorBLASTNCBIEMBLPDBPubMedR Package Development

Key Responsibilities

•Develop and maintain R-based solutions for statistical programming, data analysis, visualization, and scientific workflows.
•Build interactive applications and data tools using R/Shiny.
•Design, implement, and maintain reproducible data processing pipelines.
•Work with clinical, scientific, and technical stakeholders to gather requirements and translate business needs.
•Apply knowledge of clinical trial processes, bioinformatics workflows, and regulated environments.
•Support the development and maintenance of reusable R packages, tools, and frameworks.
•Collaborate with multidisciplinary teams to solve complex data challenges.

R DeveloperBio BackgroundLife SciencesClinical ResearchDrug DiscoveryR/ShinyCDISCRemoteFull-timeNetherlands

Key Responsibilities

•Develop and maintain R-based solutions for statistical programming, data analysis, visualization, and scientific workflows.

•Build interactive applications and data tools using R/Shiny.

•Design, implement, and maintain reproducible data processing pipelines.

•Work with clinical, scientific, and technical stakeholders to gather requirements and translate business needs.

•Apply knowledge of clinical trial processes, bioinformatics workflows, and regulated environments.

•Support the development and maintenance of reusable R packages, tools, and frameworks.

•Collaborate with multidisciplinary teams to solve complex data challenges.