Job Title: Senior Associate – RWE Obesity Statistical Programming
Location: Hyderabad, India
Work Mode: On-site
Company: Amgen
SEO URL Slug:
senior-associate-rwe-obesity-statistical-programming-hyderabad-amgen
Senior Associate – RWE Obesity Statistical Programming Job in Hyderabad | Amgen | SAS, R, SQL, Real World Evidence
Amgen is hiring a Senior Associate – RWE Obesity Statistical Programming in Hyderabad, India for its Center for Observational Research (CfOR) team. This role focuses on generating Real-World Evidence (RWE) using large healthcare datasets, clinical data analysis, and advanced statistical programming to support regulatory submissions and pharmaceutical research.
The position involves hands-on statistical programming, analyzing real-world healthcare data, developing analysis datasets, and delivering regulatory-quality results. Candidates with strong expertise in SAS, R, SQL, CDISC standards (SDTM/ADaM), OMOP data model, and Real-World Data (RWD) will be highly preferred.
This opportunity is ideal for professionals seeking to build a career in pharmaceutical data science, biostatistics, clinical research analytics, and regulatory statistical programming within a global biotechnology organization.
Approximate Salary Range: ₹18 LPA – ₹28 LPA (Estimated for Senior Statistical Programming roles in India)
Key Responsibilities
Write, test, and validate statistical programs using SAS, R, SQL, Unix, and Databricks
Develop analysis datasets, tables, figures, and statistical outputs for regulatory submissions and research publications
Generate Real-World Evidence (RWE) using large healthcare claims and EHR databases
Collaborate with epidemiologists, biostatisticians, and global clinical research teams
Implement analyses described in Statistical Analysis Plans (SAPs)
Identify and resolve data anomalies and programming issues to ensure data accuracy
Develop reusable macros, utilities, and automated programming solutions
Review study-related documents including CRFs, Data Management Plans, and programming plans
Participate in clinical quality audits and regulatory inspections
Contribute to process improvement initiatives in statistical programming and RWE research
Ensure compliance with departmental standards, SOPs, and regulatory guidelines
Required Skills & Qualifications
Bachelor’s degree in Statistics, Computer Science, Mathematics, Life Sciences, Economics, or related fields
4+ years of experience in statistical programming within pharmaceutical or clinical research environments
Strong programming expertise in SAS, R, and SQL
Knowledge of CDISC standards (SDTM, ADaM) for regulatory datasets
Experience working with Real-World Data (RWD) and healthcare databases
Understanding of drug development lifecycle and epidemiological concepts
Ability to develop analysis datasets and ensure statistical program accuracy
Strong experience collaborating with global research teams
Excellent communication, analytical, and problem-solving skills
Preferred Technical Skills
Experience with Python programming for advanced analytics
Knowledge of the OMOP Common Data Model
Familiarity with real-world healthcare datasets such as:
MarketScan
Optum Clinformatics
Medicare
Flatiron
CPRD
Agile project management in clinical research data environments
Perks & Benefits
Competitive pharmaceutical industry salary package
Opportunity to work on Real-World Evidence and observational research studies
Exposure to global drug development and regulatory data science projects
Career growth in biostatistics, clinical data analytics, and pharmaceutical R&D
Collaborative work culture with international teams
Access to cutting-edge clinical research technologies and healthcare datasets
About Amgen
Amgen is a global biotechnology leader focused on discovering, developing, and delivering innovative medicines for serious diseases. With over 40 years of leadership in biotechnology and drug development, Amgen leverages human genetics, advanced analytics, and cutting-edge research to transform patient outcomes worldwide.
Apply Now
If you have expertise in statistical programming, clinical data analysis, and real-world evidence research, this role offers an excellent opportunity to grow within a leading biotechnology company.
Apply now to advance your career in pharmaceutical biostatistics and clinical data science.
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