Associate – RWE Obesity Statistical Programming
Location: Hyderabad, India
Company: Amgen
Job Type: Full-Time
Job Category: Research / Biostatistics / Statistical Programming
Experience Required: Minimum 2+ Years
Job ID: R-237848
Work Location Type: On Site
Date Posted: March 02, 2026
Job Overview
Amgen is seeking a skilled Associate – RWE Obesity Statistical Programming to join the Center for Observational Research (CfOR) team in Hyderabad, India. This role plays a critical part in generating Real-World Evidence (RWE) to support the development, evaluation, and commercialization of innovative therapies.
The Associate Biostatistical Programmer will be responsible for statistical programming, data analysis, and the creation of analytical datasets and outputs derived from large real-world healthcare databases. This role supports epidemiologists and research teams by producing high-quality data analyses that contribute to regulatory submissions, scientific publications, and evidence generation across the product lifecycle.
The position requires strong programming expertise, attention to detail, and the ability to collaborate with global research teams across multiple time zones.
Key Responsibilities
Statistical Programming and Data Analysis
Develop, test, and validate statistical programs using SAS, SQL, and Unix-based environments to generate analysis datasets, tables, figures, and reports.
Work with large real-world healthcare datasets including insurance claims, electronic health records, and patient registries.
Manipulate complex datasets to support observational research and epidemiological analysis.
Ensure the accuracy, consistency, and reliability of programming outputs used in regulatory submissions and scientific publications.
Data Management and Reporting
Create analysis datasets and presentation outputs in accordance with project requirements and statistical analysis plans.
Support epidemiologists and research scientists by providing analytical reports and data insights derived from real-world data assets.
Identify data inconsistencies, anomalies, and quality issues while ensuring program accuracy and reliability.
Project and Collaboration Support
Participate in multidisciplinary project meetings and represent the programming function within research teams.
Collaborate with global teams to clarify analytical requirements, resolve technical challenges, and deliver results within defined timelines.
Manage programming activities according to agreed project plans and timelines.
Process Improvement and Quality Compliance
Contribute to programming process improvements and technical initiatives within the Center for Observational Research.
Develop, maintain, and review programming plans, analysis dataset specifications, and programming documentation.
Support internal and external audits, including responses to Clinical Quality Assurance (CQA) queries and findings.
Ensure programming activities follow departmental standards and regulatory guidelines.
Professional Development and Knowledge Sharing
Participate in internal research meetings and departmental knowledge-sharing sessions.
Contribute to the continuous improvement of programming practices and research methodologies.
Engage with external scientific communities, conferences, and professional organizations when required.
Required Qualifications
Bachelor’s degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics, or a related scientific discipline.
Experience Required
Minimum 2+ years of relevant experience in statistical programming, systems engineering, or application programming within a clinical research, pharmaceutical, biotechnology, or life sciences environment.
Hands-on experience in SAS and SQL programming for statistical analysis and data manipulation.
Preferred Qualifications
Master’s degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics, or related field.
Experience working with the Observational Medical Outcomes Partnership (OMOP) Common Data Model.
Familiarity with additional programming tools such as R or Python.
Technical Skills
Strong expertise in statistical programming using SAS and SQL.
Experience working with real-world healthcare data (RWD) including claims databases and electronic health records.
Ability to generate analysis datasets and validate statistical outputs.
Experience with Unix-based programming environments and Databricks is advantageous.
Key Competencies
Scientific and technical excellence
Strong analytical and problem-solving abilities
Excellent written and verbal communication skills in English
Attention to detail and data accuracy
Ability to collaborate effectively with global teams
Strong documentation and reporting skills
Teamwork and leadership mindset
Continuous learning and innovation
About Amgen
Amgen is a global biotechnology pioneer dedicated to unlocking the potential of biology to improve the lives of patients suffering from serious illnesses. Founded in 1980, Amgen has grown into one of the world’s leading independent biotechnology companies, delivering innovative therapies to millions of patients worldwide.
The company focuses on areas of high unmet medical need and leverages cutting-edge science, advanced human genetics, and data-driven research to develop breakthrough treatments. Through its strong research and development pipeline, Amgen continues to drive scientific innovation while improving global health outcomes.
The Center for Observational Research (CfOR) plays a crucial role in generating real-world evidence to support regulatory decisions, clinical research, and healthcare policy by analyzing real-world healthcare data across the product lifecycle.
Joining Amgen offers professionals the opportunity to work in a collaborative global environment focused on scientific discovery, innovation, and improving patient lives worldwide.
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