Senior Statistical Programmer
Location: Hyderabad, India
Job ID: R-214635
Posted On: June 05, 2025
Employment Type: Full-Time | On-Site
About Amgen:
Amgen is a pioneer in biotechnology, leveraging biology and cutting-edge data science to develop innovative treatments for patients facing serious illnesses. With more than 40 years of experience, we operate globally to improve lives across four core therapeutic areas—Oncology, Inflammation, General Medicine, and Rare Diseases.
Role Overview:
As a Senior Statistical Programmer (Sr Associate Biostatistical Programming), you will work within the Centre for Observational Research (CfOR) and collaborate across global time zones to deliver clean, insightful, and regulatory-compliant programming outputs. You will be responsible for hands-on programming, managing data from large real-world healthcare datasets, developing analysis datasets, tables, listings, and figures to support internal research and external regulatory submissions.
Key Responsibilities:
Programming & Analytics:
Write, test, and validate programs in Unix and Databricks.
Produce datasets and outputs (e.g., TLFs) for regulatory submissions and publications.
Manipulate and analyze real-world healthcare data assets (e.g., MarketScan, Optum, Flatiron, CPRD).
Collaboration & Technical Leadership:
Partner with epidemiologists and global research teams to deliver Real-World Evidence (RWE).
Represent the programming function in cross-functional team meetings.
Serve as technical mentor, contribute to staff training, and lead process improvements.
Regulatory Compliance & Documentation:
Develop and review analysis dataset specifications and programming plans.
Ensure adherence to departmental programming standards and audit-readiness.
Contribute to policies, SOPs, and documentation supporting programming governance.
Innovation & Contribution:
Lead or support initiatives in programming automation and optimization.
Actively participate in external conferences and professional forums.
Drive continuous improvement within the CfOR and broader R&D teams.
Required Qualifications:
Master’s degree in Computer Science, Statistics, Life Sciences, Economics, or related field with 1–3 years of experience
OR
Bachelor’s degree in relevant field with 3–5 years of experience
OR
Diploma in relevant field with 7–9 years of experience
Preferred Skills & Experience:
Strong SQL programming experience
Proficient in SAS or R (both preferred); Python is a plus
Hands-on with RWE data and the OMOP common data model
Familiarity with CDISC standards (SDTM, ADaM) for regulatory submissions
Experience in pharmaceutical industry or related fields involving clinical/statistical programming
Knowledge of epidemiology, real-world data sources (claims/EHR), and data validation
Key Competencies:
Strong statistical programming in SAS/R
Solid understanding of RWD/RWE applications and tools
Agile project management and communication across global teams
Excellent attention to detail, leadership, and problem-solving skills
Passion for continuous learning and innovation in healthcare data science
Estimated Salary: ₹28–40 LPA (based on market benchmarks and experience level)
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