R Developer (Life Sciences, Remote)

Job summary

This role involves developing R-based applications that support research in drug discovery, clinical trials, and biomedical analytics. The position requires collaboration with scientists and data engineers to create tools that facilitate scientific decision-making.

Qualifications

• Proficient in R programming with experience in production environments.
• Familiarity with biological, clinical, or life science data, including processing and visualization.
• Experience in building web applications using R Shiny or JavaScript.
• Knowledge of Git and collaborative development practices.
• Master’s degree in Bioinformatics, Data Science, Computer Science, Biostatistics, Mathematics, or related field (or equivalent experience).
• Understanding of life science concepts such as molecular biology or genomics is desirable.
• Strong communication skills for collaboration with scientific stakeholders.

Responsibilities

Benefits

• Design and maintain R and Shiny applications for biological and clinical data analysis.
• Analyze and visualize complex life science datasets.
• Develop reusable R packages and data processing components.
• Collaborate with stakeholders to gather requirements and develop technical solutions.
• Optimize interactive data visualization tools for research and clinical use.
• Manage code quality using version control systems like Git.
• Contribute to system design and continuous improvement of development practices.
• Support deployment of production-grade applications in cloud environments.
• Fully remote role with flexible hours for work-life balance.
• Competitive compensation based on experience.
• Opportunity to work on impactful projects in life sciences.
• Collaboration with experts in the field.
• Budget for continuous learning and professional development.