Clinical Data Analytics Engineer

3 weeks ago


Bengaluru, Karnataka, India SPG CONSULTING AND SOLUTIONS SERVICES PVT LTD Full time

We are seeking a skilled R/RShiny Developer to contribute to transforming how we deploy analytics tools using cloud-native architecture. This role focuses on scalable, reliable, and automated R analytics and data science products.

Key Responsibilities:
  • Design, build, and deploy advanced RShiny applications on cloud platforms, ensuring they are scalable and performant for large-scale clinical data analysis.
  • Collaborate with data scientists, biostatisticians, and research teams to create sophisticated RShiny applications that drive our clinical data analysis efforts.
  • Utilize tools like Posit Workbench, Posit Connect, and AWS services 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 (Databricks) within RShiny applications.
  • Work closely with data engineers and architects to ensure seamless integration of data sources (Databricks) and tools used within the organization.
  • Create and maintain technical documentation to support ongoing development and deployment processes.

Required Qualifications:

  • A minimum of 5 years of experience in IT industry, with strong emphasis on data visualization and dashboard development, particularly using R.
  • Proven experience in Life Sciences, Biotech, or Pharma industry is a must.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field required; Master's degree preferred.
  • A minimum of 3 years hands-on experience with R, R packages, RStudio, and RShiny, particularly in context of clinical data analysis.
  • At least 2 years experience 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 integrating RShiny applications with various data sources, particularly cloud-based data storage solutions like AWS S3, Azure Data Lake, or similar platforms.
  • Able to effectively communicate technical solutions to both engineering teams and business audiences.

Estimated Salary: $120,000 - $180,000 per annum.

The position is located in PAN India.


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