R Developer with Life Science Background

About the role

This position is based in Luxembourg and sits at the intersection of software engineering, data science, and life sciences. You will build advanced R‑based applications that support critical research in drug discovery, clinical trials, and biomedical analytics, working closely with scientists, bioinformaticians, and data engineers.

Key responsibilities

• Design, develop, and maintain high‑quality R and Shiny applications for biological and clinical data analysis workflows.
• Process, analyze, and visualise complex life‑science datasets, ensuring accuracy, reproducibility and usability.
• Build and maintain reusable R packages and data‑processing components for scalable analytics.
• Collaborate with scientific stakeholders to gather requirements and translate them into technical solutions.
• Develop interactive visualisation tools to support research and clinical decision‑making.
• Use Git for version control and collaborative development.
• Participate in system design discussions, backlog refinement and continuous improvement of development practices.
• Support deployment and maintenance of production‑grade applications in cloud or distributed environments.

Required profile

• Strong proficiency in R programming with hands‑on experience in production environments.
• Experience working with biological, clinical or life‑science data, including processing, analysis and visualisation.
• Proven experience building web applications using R Shiny (or JavaScript).
• Experience creating, maintaining and documenting R packages.
• Solid understanding of Git and collaborative software development workflows.
• Master’s degree in Bioinformatics, Data Science, Computer Science, Biostatistics, Mathematics or a related field (or equivalent experience).
• Knowledge of molecular biology, genomics or clinical research is highly desirable.

Required skills

• R programming
• Shiny framework
• Git version control
• R package development
• Data visualisation in R