Senior Associate - RWE Application Development

Amgen; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Amgen Inc. in Hyderabad, India seeks a Senior Statistical Programmer to design, develop, and optimize R Shiny applications and web solutions. This hands-on role emphasizes Real-World Evidence generation and cross-time-zone collaboration while maintaining coding standards.

The candidate should have a strong foundation in R, R Shiny, HTML, CSS, and JavaScript, with experience in full-stack development and CI/CD workflows. A bachelor’s degree with relevant 5–8 years of experience is required.

Qualifications

• Bachelor's degree with 5-8 years in Computer Science, Information Technology, or a related field.
• Proficiency in R and R Shiny; solid HTML/CSS/JavaScript knowledge.
• Experience with OHDSI community and Shiny apps.

Responsibilities

• Enhance and support existing R Shiny applications with front-end improvements.
• Develop web solutions using HTML, CSS, and JavaScript.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Lead programming initiatives and ensure departmental standards.

Skills

R

R Shiny

HTML

CSS

JavaScript

Git

CI/CD

Python

English communication

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

OHDSI Atlas

OMOP CDM

Job description

Career Category Clinical Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Sr Associate Biostatistical Programming

What you will do

Let’s do this. Let’s change the world.

• 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.

What we expect of you

This crucial role involves generating Real-World Evidence (RWE) to support Amgen products throughout the drug development lifecycle. This individual contributor programming role will collaborate with teams across multiple time zones to fulfill requests, clarify requirements, elevate issues, and deliver high-quality results. The Senior Statistical Programmer will report to a locally based Manager. The Senior Statistical Programmer will be responsible for hands‑on programming and results delivery. Additionally, they will be responsible for enhancing existing R Shiny applications and providing support for the Atlas web‑based application from the OHDSI community. The ideal candidate should possess a bachelor’s degree and have at least four years of relevant career experience in full stack development. Proficiency in R and R Shiny is required, along with a strong working knowledge of HTML, CSS, and JavaScript programming. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem‑solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential.

Basic Qualifications

• Bachelor's degree with 5-8 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