AM

Biostatistical Programming Manager

Amgen Inc
Hyderabad3-6 LPA Posted 8 May 2025
FULL TIME
Git
Ci
Javascript
cd
Css
+2 more

Job Description

  • 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
  • Write and/or review and approve all programming plans
  • Oversee the work of outsourced resources assigned to project
  • Lead and/or participate in the development and review of CfOR Policies, SOPs and other controlled documents
  • Participate in the recruitment of programming staff
  • Actively participate in external professional organizations, conferences and/or meetings
  • Provide input to and participate in intra-departmental and CfOR meetings
  • Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D)
  • Manage staff performance and oversee staff assignments and utilization
  • 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
  • Implement CI/CD processes to ensure efficient and reliable deployment of applications
  • Manage and optimize data workflows to support efficient data processing and analysis
  • 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
  • Validate and test software tools

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. Managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources in programming projects and Experience in R Shiny, HTML, CSS, and JavaScript.

Basic Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field
  • At least six (6) years of relevant experience in full stack development

Preferred Qualifications:

  • Masters 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
  • Global collaboration
  • Request fulfillment oversight, clarifying requirements, project tracking, project fulfillment, statistical programming, issue resolution, expert resource, results delivery

Key Competencies

  • Required: Proficient in R and R Shiny (Intermediate)
  • Required: HTML (Expert)
  • Required: CSS (Expert)
  • Required: JavaScript (Expert)
  • Preferred: Python (Intermediate)
  • 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, Market Scan, 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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