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3.0 - 7.0 years

4 - 8 Lacs

hyderabad, telangana, india

On-site

Sr Associate Biostatistical Programming What you will do Let's do this. Let's change the world. In this vital role you will Enhance and support existing R Shiny applications with a focus on front-end improvements Provide support for the Atlas web-based application from the OHDSI community Develop and implement web solutions using HTML, CSS, and JavaScript Collaborate with stakeholders to understand their requirements and translate them into technical solutions Participate in continuous integration and continuous deployment (CI/CD) processes Manage and optimize data workflows to support efficient data processing and analysis Maintain clear and effective communication with team members and stakeholders Provide technical solutions to programming problems within CfOR Lead and develop technical programming and process improvement initiatives within CfOR Represent the programming function and participate in multidisciplinary project team meetings Project manage all programming activities, according to agreed resource and timeline plans Ensure all programming activities on the project adhere to departmental standards Provide input to and participate in intra-departmental and CfOR meetings Stay updated with R programming trends and integrate new technologies as needed Establish coding standards and best practices for R package and R Shiny development Optimize performance and refactor code to enhance efficiency and reliability Validation and testing software tools. Basic Qualifications: Bachelor's degree with 3-5 Years in Computer Science, Information Technology, or a related field Preferred Qualifications: Master's degree in Computer Science, Information Technology or other relevant scientific subject Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model Experience working with the OHDSI community and supporting Shiny applications Familiarity with Real-World Evidence and its applications in observational studies Experience: Developing and maintaining web applications using R Shiny Supporting and enhancing web-based applications in a collaborative environment Collaborating with multi-functional teams to deliver technical solutions that meet user requirements Key Competencies Required Proficient in R and R Shiny (Basic) Required HTML (Intermediate) Required CSS (Intermediate) Required JavaScript (Intermediate) Preferred Python (Basic) Git workflows using version control Continuous Integration and Continuous Deployment (CI/CD) Excellent verbal and written communication skills in English Ability to have efficient exchanges with colleagues across geographical locations Agile project management Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare OMOP common data model Scientific / technical excellence Oral and written communication, documentation skills Leadership Innovation Teamwork Problem solving Attention to detail Learning attitude

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