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Volga Infotech

Senior R Shiny Developer ( Pharma experience )

Actively Reviewing

Volga Infotech

Mumbai Full-Time 4–8 yrs exp Posted 6 hours ago  · Apply by Sep 14, 2026

** Looking for immediate joiners only. If interested, please revert back with details : CTC, ECTC and notice period along with a brief summary of your experience in the Pharma/Life Sciences domain. Email : [email protected] **


Job Summary:


We are seeking a skilled R Shiny Developer to join our data engineering and analytics team. 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.


Working hours : 5:30 pm

  • 2:30 am


    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.