Manager – Oncology RWE Statistical Programming | Hyderabad, India
Location: Hyderabad, India
Job Type: Full-Time
Work Mode: On-site
Amgen is hiring a Manager – Oncology RWE Statistical Programming in Hyderabad, India for its Center for Observational Research (CfOR) team. This leadership role is designed for experienced professionals in biostatistical programming, real-world evidence (RWE) research, and pharmaceutical data analytics who can lead programming teams and generate evidence from real-world healthcare data.
The Manager will oversee a team of senior statistical programmers responsible for generating real-world evidence across the drug development lifecycle. The role requires collaboration with global research teams to analyze healthcare datasets, epidemiology data, clinical outcomes, and treatment patterns. This position is ideal for professionals with strong expertise in SQL, SAS/R programming, oncology data research, and real-world data analytics.
💰 Expected Salary (Approx.)
For Manager-level Biostatistical Programming roles in multinational pharmaceutical companies in India, the typical salary range is:
₹30 LPA – ₹45 LPA (Estimated)
Compensation may vary based on:
Total statistical programming or clinical data science experience
Leadership experience managing statistical programming teams
Expertise in real-world evidence (RWE) and real-world data (RWD)
Technical expertise in SQL, SAS, R, and healthcare data analytics
Educational qualifications such as Master’s degree in Statistics, Computer Science, or Life Sciences
Global biotechnology companies like Amgen typically offer competitive salaries, bonuses, and strong career growth opportunities within clinical research and data science teams.
Job Summary
The Manager – Oncology RWE Statistical Programming will lead statistical programming activities that support the generation of real-world evidence for drug development, regulatory submissions, and healthcare decision-making. The role involves working with large healthcare datasets including insurance claims, electronic health records (EHR), and patient registries.
The manager will perform both hands-on programming and team leadership, guiding junior programmers and ensuring high-quality analytical outputs. The role includes developing analysis datasets, writing and validating statistical programs, and producing results for scientific reports, regulatory submissions, and publications.
The position also requires global collaboration with epidemiologists, clinical researchers, and cross-functional teams to design studies, manage project timelines, and ensure compliance with research standards and SOPs.
Key Responsibilities
Lead and manage a team of statistical programmers generating real-world evidence
Provide technical solutions for complex programming and data analysis challenges
Develop and review programming plans and statistical analysis dataset specifications
Write, test, and validate statistical programs using SAS, R, and SQL
Analyze real-world healthcare data including claims databases and EHR systems
Produce analysis datasets and statistical outputs for regulatory submissions and scientific publications
Ensure programming work follows departmental standards and standard operating procedures (SOPs)
Participate in multidisciplinary project team meetings across global teams
Oversee outsourced programming work and external vendor collaborations
Support clinical quality audits and regulatory compliance reviews
Mentor junior programmers and support team recruitment and development
Contribute to process improvements within CfOR and research teams
Required Skills & Qualifications
Bachelor’s degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics, or related field
6+ years of experience in statistical programming within clinical research or life sciences
Experience managing teams, projects, or statistical programming initiatives
Strong expertise in SQL and SAS or R programming
Knowledge of real-world evidence (RWE) generation and healthcare data analysis
Experience working with large healthcare datasets
Excellent communication, documentation, and collaboration skills
Ability to work with global teams across multiple time zones
Preferred Skills
Master’s degree in Statistics, Computer Science, or Life Sciences
Experience using the OMOP Common Data Model
Knowledge of CDISC standards such as SDTM and ADaM
Experience with real-world healthcare databases such as MarketScan, Optum, Flatiron, Medicare, and CPRD
Familiarity with Python programming for healthcare analytics
Understanding of drug development lifecycle and epidemiology concepts
Strong project management and leadership capabilities
Benefits & Career Opportunities
Opportunity to work with a leading global biotechnology company
Exposure to real-world evidence research and oncology data analytics
Leadership role within global clinical research and statistical programming teams
Opportunity to contribute to drug development and regulatory evidence generation
Career growth in biostatistics, clinical data science, and pharmaceutical R&D
About the Company
Amgen is one of the world’s leading biotechnology companies focused on discovering, developing, and delivering innovative therapies for serious illnesses. Founded in 1980, the company uses advanced science, including human genetics and biologics research, to develop treatments that improve patient outcomes worldwide.
Amgen focuses on areas with high unmet medical need, including oncology, cardiovascular disease, inflammation, and rare diseases. Through its global research and development teams, the company continues to develop breakthrough medicines that transform healthcare and improve millions of lives.
How to Apply
If you have strong experience in biostatistical programming, real-world data analytics, or pharmaceutical clinical research, this role offers an opportunity to work on global oncology research and contribute to evidence generation for innovative medicines.
Apply now to join Amgen and help advance real-world evidence research that supports life-changing therapies for patients worldwide.
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