R Developer with Life Science Background

About the role

This position is for an R Developer who will work at the intersection of software engineering, data science, and life sciences. Based in Canada, you will create production‑grade R and Shiny applications that enable scientists to analyse complex biological and clinical datasets.

Key responsibilities

• Design, develop, and maintain high‑quality R and Shiny applications supporting biological and clinical data analysis workflows.
• Process, analyse, and visualise complex life‑science datasets with a focus on accuracy and reproducibility.
• Build and maintain reusable R packages and data‑processing components for scalable analytics.
• Collaborate with scientists, bioinformaticians, and stakeholders to translate requirements into technical solutions.
• Develop interactive visualisation tools to aid 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 settings.
• Experience working with biological, clinical, or life‑science data.
• Master’s degree in Bioinformatics, Data Science, Computer Science, Biostatistics, Mathematics, or related field (or equivalent experience).
• Understanding of molecular biology, genomics, or clinical research is highly desirable.
• Excellent communication and collaboration skills with scientific stakeholders.

Required skills

• R programming
• R Shiny
• JavaScript (for web interfaces)
• Git version control