R Shiny Data Visualization Expert
1 day ago
Explore a challenging role as an R Shiny Data Visualization Expert at SPG Consulting and Solutions Services Pvt Ltd. This position involves designing, building, and deploying advanced RShiny applications on cloud platforms to drive clinical data analysis efforts.
We are seeking an experienced R / RShiny developer with expertise in the clinical data domain to join our team. The successful candidate will contribute to the transformation of how we deploy analytics tools using cloud-native architecture, focusing on scalable, reliable, and automated R analytics and data science products.
Key Responsibilities:
- Design and develop sophisticated RShiny applications that integrate with various data sources, including Databricks.
- Collaborate with data scientists, biostatisticians, and research teams to create workflows that support the deployment of R-based analytics applications.
- Develop and maintain robust data pipelines to pull, process, and visualize large datasets from data sources within RShiny applications.
- Work closely with data engineers and architects to ensure seamless integration of data sources and tools used within the organization.
- Create and maintain technical documentation to support ongoing development and deployment processes.
Required Qualifications:
- Minimum 5 years of experience in the IT industry, with a strong emphasis on data visualization and dashboard development, particularly using R.
- Proven experience in the Life Sciences, Biotech, or Pharma industry is a must.
- Bachelor's degree in computer science, engineering, information systems, data science, or a related field is required. A master's degree is preferred.
- 3+ years of hands-on experience with R, R packages, RStudio, and RShiny, particularly in the context of clinical data analysis.
- 2+ years of experience in building and maintaining CI/CD tooling (e.g., Gitlab, GitHub).
- Basic knowledge of SQL for querying databases and manipulating data within both relational databases and big data environments.
- Experience in integrating RShiny applications with various data sources, particularly cloud-based data storage solutions like AWS S3, Azure Data Lake, or similar platforms.
Estimated Salary: ₹1,200,000 - ₹1,500,000 per annum, depending on experience and qualifications. We offer a competitive compensation package that includes benefits such as health insurance, retirement planning, and opportunities for professional growth and development.
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