R Developer with Life Science Background

About the role

We are seeking an R Developer with a life‑science background to join a research‑driven team in Australia. The role sits at the intersection of software engineering, data science and biology, building production‑grade R and Shiny applications that support drug discovery, clinical trials and biomedical analytics.

Key responsibilities

• Design, develop and maintain high‑quality R and Shiny applications for biological and clinical data analysis workflows.
• Process, analyse 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 scientists, bioinformaticians and 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.
• Master’s degree in Bioinformatics, Data Science, Computer Science, Biostatistics, Mathematics or related field (or equivalent experience).
• Solid understanding of molecular biology, genomics or clinical research concepts (highly desirable).
• Excellent communication and collaboration skills with scientific stakeholders.

Required skills

• R programming
• R Shiny
• JavaScript (for web applications)
• Git version control
• Creating and documenting R packages