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 0–3 years of relevant experience, OR
- Diploma in a relevant field with 4–7 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
