Clinical Data Analytics Engineer
3 weeks ago
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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