Senior Associate - RWE Application Development

Amgen Inc

Hyderabad

On-site

INR 600,000 - 1,000,000

Full time

14 days+

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Job summary

A global biopharmaceutical company in Hyderabad seeks a Senior Associate in Biostatistical Programming. This role involves enhancing R Shiny applications, developing web solutions, and ensuring effective data workflows. The ideal candidate will possess a Bachelor’s degree, strong R proficiency, and effective communication skills. Ideal for those experienced in full stack development and looking to contribute to significant healthcare outcomes.

Qualifications

4+ years of relevant career experience in full stack development.
Proficient in R and R Shiny, HTML, CSS, and JavaScript programming.
Experience supporting Shiny applications in a collaborative environment.

Responsibilities

Enhance and support existing R Shiny applications with front-end improvements.
Collaborate with stakeholders to deliver high-quality results.
Manage and optimize data workflows to support efficient data processing.

Skills

R programming

R Shiny

HTML

CSS

JavaScript

Git workflows

Agile project management

Real-world data

Problem solving

Communication skills

Education

Bachelor’s degree in Computer Science or related field

Master’s degree in Computer Science or related field

Job description

Sr Associate Biostatistical Programming

What you will do

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.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. 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 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