Job Description
The ideal candidate will have a strong background in R programming, data handling, and visualization. You will be responsible for building and deploying interactive web applications using R Shiny, focused on data-driven insights and analytics. While no specific business knowledge is required, familiarity with the pharmaceutical industry is a plus.
Key Responsibilities:
• Develop and Deploy Applications:
• Design, develop, and maintain interactive web applications using R Shiny.
• Ensure that applications are scalable, secure, and optimized for performance.
• Data Engineering and Management:
• Handle large datasets, ensuring data integrity and quality.
• Collaborate with data engineers to extract, transform, and load (ETL) processes for datasets used in R Shiny applications.
• Data Visualization and Analytics:
• Create interactive dashboards and visualizations that effectively communicate data insights.
• Utilize R and other tools to perform data analysis and generate reports.
• Collaboration and Communication:
• Work closely with data scientists, analysts, and other stakeholders to understand requirements and deliver high-quality solutions.
• Participate in team meetings and contribute to project planning and timelines.
• Documentation and Best Practices:
• Document all stages of the application development process.
• Adhere to best practices in coding, version control, and testing.
Qualifications:
• Education:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Technical Skills:
• Strong proficiency in R programming and experience with R Shiny.
• Experience with data manipulation tools (e.g., dplyr, tidyr) and data visualization libraries (e.g., ggplot2, plotly).
• Familiarity with SQL and database management.
• Understanding of web technologies (HTML, CSS, JavaScript) is a plus.
• Experience with Git or other version control systems.
• Experience:
• Proven experience in developing and deploying R Shiny applications.
• Experience in data engineering, including ETL processes.
• Experience with cloud platforms (e.g., AWS, Azure) is desirable.
• Soft Skills:
• Strong problem-solving skills and attention to detail.
• Ability to work independently as well as part of a team.
• Good communication skills, with the ability to present technical information to non-technical stakeholders.
Preferred Qualifications:
• Experience in the pharmaceutical industry or familiarity with healthcare data.
• Knowledge of machine learning or advanced analytics.
Experience with other programming languages such as Python.
•
Key Responsibilities:
• Develop and Deploy Applications:
• Design, develop, and maintain interactive web applications using R Shiny.
• Ensure that applications are scalable, secure, and optimized for performance.
• Data Engineering and Management:
• Handle large datasets, ensuring data integrity and quality.
• Collaborate with data engineers to extract, transform, and load (ETL) processes for datasets used in R Shiny applications.
• Data Visualization and Analytics:
• Create interactive dashboards and visualizations that effectively communicate data insights.
• Utilize R and other tools to perform data analysis and generate reports.
• Collaboration and Communication:
• Work closely with data scientists, analysts, and other stakeholders to understand requirements and deliver high-quality solutions.
• Participate in team meetings and contribute to project planning and timelines.
• Documentation and Best Practices:
• Document all stages of the application development process.
• Adhere to best practices in coding, version control, and testing.
Qualifications:
• Education:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Technical Skills:
• Strong proficiency in R programming and experience with R Shiny.
• Experience with data manipulation tools (e.g., dplyr, tidyr) and data visualization libraries (e.g., ggplot2, plotly).
• Familiarity with SQL and database management.
• Understanding of web technologies (HTML, CSS, JavaScript) is a plus.
• Experience with Git or other version control systems.
• Experience:
• Proven experience in developing and deploying R Shiny applications.
• Experience in data engineering, including ETL processes.
• Experience with cloud platforms (e.g., AWS, Azure) is desirable.
• Soft Skills:
• Strong problem-solving skills and attention to detail.
• Ability to work independently as well as part of a team.
• Good communication skills, with the ability to present technical information to non-technical stakeholders.
Preferred Qualifications:
• Experience in the pharmaceutical industry or familiarity with healthcare data.
• Knowledge of machine learning or advanced analytics.
Experience with other programming languages such as Python.
•
💡 Quick Summary
Seeking a career-building opportunity? The Sr| R programmer | R Shiny position is now open for candidates interested in the Software Developer Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
