Senior RWE Epidemiologist & Programmer - Oncology

IQVIA Inc; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

IQVIA is hiring for a senior data analyst to lead the development of analytic datasets and conduct longitudinal analyses for observational oncology studies within a single client portfolio. This role emphasizes RWD analysis using claims, EMR and lab data, with exposure to PharMetrics Plus, Flatiron or Tempus.

The candidate will collaborate with epidemiologists to design descriptive and advanced statistics, develop SAPs, and ensure data quality across multiple studies while communicating progress

Qualifications

• Master's or PhD with relevant experience in real-world data (RWD) analysis.
• Experience with claims, EMR, and lab data; oncology safety outcomes preferred.
• Strong statistical programming skills in R.
• Pharmaceutical industry experience and study design knowledge.

Responsibilities

• Lead development of analytic datasets from raw data sources (claims, EMR, labs).
• Characterize patient populations and build cohorts for studies.
• Perform and QC analyses, handle censoring and missing data.
• Define variables and conduct longitudinal analyses with epidemiologists.
• Develop protocols and SAPs; contribute to study reports.
• Communicate timelines and results to stakeholders.

Skills

R programming

Observational data analysis

Survival analysis

Epidemiology

Communication skills

Education

Master's degree in Biostatistics, Epidemiology, Data Science

PhD in related field

Tools

PharMetrics Plus

Flatiron

Tempus

R

Job description

IQVIA is hiring for a senior data analyst to lead the development of analytic datasets and conduct longitudinal analyses for observational oncology studies within a single client portfolio. This role emphasizes RWD analysis using claims, EMR and lab data, with exposure to PharMetrics Plus, Flatiron or Tempus.

The candidate will collaborate with epidemiologists to design descriptive and advanced statistics, develop SAPs, and ensure data quality across multiple studies while communicating progress