| R II RShiny Developer II Remote II at Remote, Remote, USA |
| Email: [email protected] |
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From: Vinay Chaudhary, Intellicept Inc [email protected] Reply to: [email protected] Senior Technical Lead POSITION: R/RSHINY DEVELOPER FOR CLINICAL DATA LOCATION: REMOTE BUT PREFERRED SOMEONE IN EAST COAST No. of Positions 1 Job Description (Posting). To be responsible for managing technology in complex projects ,providing technical guidance and ensuring succesful delivery of solutions. (1.) Key Responsibilities 1. To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity. 2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure succeful delivery of complex projects. 3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations). 4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations. Skill (Primary): Domain Competencies (APPS)-Bus. Process-Life Sciences-Bus. Process_Clinical Trial Mgmt We are seeking a skilled R / RShiny Developer with expertise in the clinical data domain. You 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. Be part of a team where your expertise in R and RShiny will have a direct impact on accelerating the discovery and delivery of life-changing therapies. 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 the seamless integration of data sources (Databricks) and tools used within the organization. Create and maintain technical documentation to support ongoing development and deployment processes. Minimum of 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. Bachelors degree in computer science, Engineering, Information Systems, Data Science, or a related field is required. A masters 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 Advanced Shiny Techniques: Proficiency in using shiny modules, JS events, and custom bindings to extend the functionality of Shiny applications. User-Centric Design: Strong ability to implement visually appealing and user-friendly applications using HTML/CSS. Ability to scale Shiny applications to hundreds of users, with experience in performance optimization at various levels (frontend, backend, infrastructure). Other Key Skills Validation and Compliance: Experience in validating RShiny applications to meet regulatory standards such as FDA, EMA, and GxP guidelines. This ensures that the applications are reliable, secure, and compliant with industry regulations. Open Source Contributions: Active participation in the open-source community, particularly in developing and maintaining R packages and Shiny applications. This demonstrates a commitment to continuous learning and staying updated with the latest advancements in the field. Performance Optimization: Expertise in optimizing the performance of Shiny applications, including frontend, backend, and infrastructure levels, to ensure they can handle large datasets and multiple users efficiently. User Behavior Analysis: Ability to analyze user behavior and interactions with Shiny applications to improve usability and functionality. This involves understanding the diverse needs of users ranging from data scientists to clinicians. Data Integration: Proficiency in integrating Shiny applications with various data sources, including cloud-based storage solutions like AWS S3, Azure Data Lake, and other platforms. Keywords: continuous integration continuous deployment javascript sthree rlang information technology R II RShiny Developer II Remote II [email protected] |
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| 07:16 PM 14-Feb-25 |