Statistical Programmer

Job Description

Amgen is seeking a dedicated Associate Biostatistical Programmer to join our Center for Observational Research (CfOR) in Hyderabad. This pivotal role contributes to the generation of Real-World Evidence (RWE) to support Amgen products throughout the drug development lifecycle. You will collaborate across global teams to deliver timely, high-quality results by programming and analyzing real-world healthcare data assets. Key Responsibilities: Write, test, and validate programs in Unix and Databricks to generate analysis datasets, tables, and figures for regulatory submissions, publications, and internal use. Manipulate large real-world data (RWD) sets to support epidemiological studies. Identify and resolve programming issues; escalate when necessary. Lead and contribute to technical programming and process improvement initiatives within CfOR. Participate in multidisciplinary project team meetings representing the programming function. Adhere to departmental programming standards and project timelines. Write and review programming plans and analysis dataset specifications. Develop and execute macros and utilities at the department, product, and protocol levels. Support audits conducted by Clinical Quality Assurance (CQA) and respond to findings. Actively contribute to external conferences, professional forums, and internal knowledge-sharing activities. Collaborate in continuous improvement efforts across CfOR and Research and Development (R&D) . Basic Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field with 03 years of relevant experience, OR Diploma in a relevant field with 47 years of relevant experience Required Experience & Skills: Proficiency in SAS and SQL programming Hands-on experience with real-world healthcare data (RWD) , including: Claims databases (e.g., MarketScan, Optum Clinformatics, Medicare) Electronic Health Records (e.g., Flatiron, Optum EHR PanTher, CPRD, MDV) Strong analytical and data validation skills Experience with Statistical Analysis Plans (SAPs) and study-level programming Effective collaboration in a globally distributed team Preferred Qualifications: Experience with R and Python Familiarity with OMOP Common Data Model Exposure to Databricks and Unix environments Key Competencies: Expert-level programming using SAS or R Strong communication (verbal and written) in English Attention to detail and high-quality documentation Scientific and technical excellence Strong problem-solving and decision-making skills Collaborative mindset with global colleagues Adaptability and continuous learning orientation Leadership potential and innovation in process improvement Technologies & Tools: Programming Languages: SAS (required), SQL (required), R (preferred), Python (preferred) Platforms: Unix, Databricks Data Models: OMOP (preferred) Data Sources: MarketScan, Optum Clinformatics, Medicare, Flatiron, CPRD, MDV