Design, develop, and maintain scientific software applications, interactive dashboards, and analytical tools using R Shiny and related technologies
Develop applications that enable exploration, visualization, and interpretation of scientific and analytical data
Collaborate with scientists and technical teams to transform complex analyses and workflows into intuitive, user-friendly software solutions
Build data visualization, reporting, and decision-support tools for internal and client-facing use
Support deployment and maintenance of applications within A2-Ai Cloud and related computing environments
Develop reusable software components, internal packages, APIs, and open-source utilities that support analytical workflows
Participate in software testing, validation, debugging, and documentation activities
Support integration of AI, machine learning, and advanced analytics capabilities into scientific software products
Requirements
Bachelor's degree in data science, statistics, computer science, bioinformatics, engineering, or related field, or direct experience with software and analytical application development
Experience developing scientific, analytical, or data-driven applications; experience with R Shiny is required
Exposure to Python, SQL, JavaScript, APIs, or cloud-based workflows is preferred