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Manager - Oncology Rwe Statistical Programming

Amgen
Amgen
6+ years
₹30 LPA – ₹50 LPA
Hyderabad
10 March 16, 2026
Job Description
Job Type: Full Time Education: B.Com/ BBA/ MBA/ M.Com/ B.Sc/ M.Sc/ B.Tech/ M.Tech/ BE/ ME and All Graduats Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Manager – Oncology RWE Statistical Programming

Company: Amgen
Location: Hyderabad, Telangana, India
Job Type: Full-Time | On-Site
Experience: 6+ Years (Statistical Programming / Clinical Data)
Qualification: Bachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics, or related field
Approx Salary: ₹30 LPA – ₹50 LPA


Job Overview

Amgen is hiring a Manager – Oncology Real-World Evidence (RWE) Statistical Programming to lead statistical programming activities within the Center for Observational Research (CfOR).

This role involves managing a team of statistical programmers responsible for generating real-world evidence from healthcare data to support drug development, regulatory submissions, and commercialization strategies. The position requires both hands-on programming expertise and leadership capabilities to guide teams and deliver high-quality analytical outputs.


Key Responsibilities

1. Statistical Programming & Data Analysis

  • Write, test, and validate programs to generate analysis datasets and reports for regulatory submissions and publications.

  • Work with large real-world healthcare databases such as claims and electronic health records (EHR).

  • Develop and maintain macros, utilities, and statistical analysis tools.

2. Real-World Evidence (RWE) Development

  • Generate real-world evidence supporting drug development and commercialization decisions.

  • Partner with epidemiologists and research teams to explore healthcare data and disease trends.

  • Analyze data related to disease prevalence, treatment outcomes, safety, and healthcare utilization.

3. Project & Team Management

  • Lead and mentor senior statistical programmers and junior team members.

  • Track programming projects, manage timelines, and resolve technical issues.

  • Participate in recruitment, team performance management, and resource allocation.

4. Cross-Functional Collaboration

  • Work with biostatistics, epidemiology, clinical development, and regulatory teams.

  • Participate in multidisciplinary project meetings and represent the programming function.

  • Review study-related documents such as Statistical Analysis Plans (SAPs), Case Report Forms (CRFs), and Data Management Plans.

5. Quality, Compliance & Documentation

  • Ensure programming activities comply with SOPs, regulatory standards, and departmental guidelines.

  • Participate in internal and external audits and respond to quality findings.

  • Contribute to the development of policies, SOPs, and best practices.


Required Skills

Technical Skills

  • Strong programming expertise in SAS or R

  • Advanced knowledge of SQL programming

  • Experience with real-world healthcare data (RWD) and clinical datasets

  • Familiarity with Unix environments and statistical programming workflows

  • Knowledge of clinical trial data standards such as CDISC (SDTM, ADaM)

Soft Skills

  • Leadership and team management

  • Strong analytical and problem-solving skills

  • Excellent communication and documentation abilities

  • Ability to work with globally distributed teams


Preferred Qualifications

  • Master’s Degree in Statistics, Computer Science, or related discipline

  • Experience with OMOP Common Data Model

  • Programming experience with Python

  • Experience working with healthcare databases such as MarketScan, Optum, Medicare, Flatiron, or CPRD


Key Competencies

  • Real-World Evidence (RWE) generation

  • Statistical programming for clinical trials and observational research

  • Agile project management

  • Epidemiology concepts such as incidence and prevalence analysis

  • Innovation, leadership, and collaboration


About the Company

Amgen is one of the world’s leading biotechnology companies, pioneering innovative medicines since 1980. The company focuses on addressing serious diseases with high unmet medical needs through advanced research in human biology, genetics, and biotechnology.