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Rwe Senior Data Analyst

3-8 years
USD 88,300 to 220,900.
10 Nov. 25, 2025
Job Description
Job Type: Full Time Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences 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

RWE Senior Data Analyst

Location: Durham, North Carolina, United States
Employment Type: Full-Time
Requisition ID: R1513702
Work Model: Home-Based (U.S. and additional locations)

Position Overview

IQVIA is expanding its Real World Evidence (RWE) Functional Service Provider (FSP) team and seeking an experienced RWE Senior Data Analyst. This role operates within the Real World Solutions group and supports a leading pharmaceutical client in the virology therapeutic area. The analyst will lead dataset development, perform longitudinal analyses, and manage multiple observational studies using real-world data (RWD), including EMR, claims, and laboratory datasets.

The ideal candidate brings strong expertise in observational research, statistical programming, and real-world data methodologies, along with the ability to manage complex analytical work across multiple studies.

Key Responsibilities

  • Lead development of analytic datasets using raw RWD sources such as claims, EHR, and lab data (e.g., Optum, HealthVerity, TriNetX).

  • Conduct data processing, quality checks, and data cleaning for secondary data sources.

  • Assess the feasibility of RWD sources to define patient cohorts, characterize populations, and validate study variables.

  • Perform and quality-control statistical analyses, including handling missing data, sensor data, treatment codes, and confounding factors.

  • Collaborate with epidemiologists to develop specifications for descriptive and advanced statistics, including survival analyses, longitudinal methods, and regression models.

  • Develop and QC tables, figures, and listings (TFLs) for study protocols, reports, and manuscripts.

  • Support preparation of study protocols, statistical analysis plans, and study reports.

  • Communicate timelines, progress updates, and analytical results to project teams and stakeholders.

  • Provide technical and statistical expertise and independently propose solutions for complex analytical challenges.

Required Qualifications and Experience

  • Master’s degree in Biostatistics, Epidemiology, Data Science, or related discipline with 5–8 years of relevant experience, or PhD with 3+ years of relevant experience.

  • Proven experience analyzing RWD using EMR and claims datasets.

  • Experience with TriNetX data is preferred.

  • Strong proficiency in advanced statistical programming using SAS, R, SQL, and macros.

  • Prior experience in the pharmaceutical industry with in-depth knowledge of observational research methodologies.

  • Previous CRO or consulting experience with client-facing responsibilities.

  • Excellent analytical, communication, and documentation skills with strong attention to detail.

  • Ability to manage multiple priorities and deliver high-quality work within deadlines.

About IQVIA

IQVIA is a global leader in clinical research, advanced analytics, and healthcare intelligence. The company delivers data-driven insights and technology solutions to accelerate the development and commercialization of innovative medical treatments, supporting improved patient outcomes worldwide.

Compensation

  • Base salary range (annualized): USD 88,300 to 220,900.

  • Actual compensation is determined by education, skills, experience, geographic location, and work schedule.

  • Additional compensation may include incentives, bonuses, healthcare benefits, and other role-specific programs.

Equal Opportunity Statement

IQVIA is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected classification.