Lead Real-World Data Epidemiology Programmer

IQVIA LLC; City of Westminster; On-site; GBP 60,000 - 90,000; Full time

Job summary

IQVIA LLC is seeking a senior data analyst to lead the development of analytic datasets and longitudinal analyses for observational oncology studies using real‑world data (claims, EMR, and lab data). The role requires strong R programming skills, substantial experience with EMR/claims data, and a track record in safety analyses.

You will collaborate with epidemiologists and statisticians to design analyses, prepare protocols and reports, and manage multiple complex studies within the DATS

Qualifications

• Master’s Degree in Biostatistics, Epidemiology, Data Science or related field; 5–8 years of relevant experience or PhD with 3 years.
• Strong track record in real-world data analysis using claims, EMR and lab data; oncology safety experience preferred.
• Excellent statistical programming and ability to lead complex observational studies.

Responsibilities

• Lead development of analytic datasets from raw data and perform data checks/cleaning.
• Feasibility assessment of real-world data sources to define patient cohorts and key variables.
• Conduct and QC analyses, apply statistical methods for censoring, confounding and missing data.
• Collaborate with epidemiologists to specify descriptive and complex statistics for oncology studies.
• Develop and QC study documents (protocols, SAPs, reports) using RWD (claims/EHR).
• Communicate timelines and results to project teams and stakeholders.

Skills

R programming

Observational study design

Pharmaceutical analytics

Data interpretation

Communication skills

Multi-task management

Education

Master's degree in Biostatistics, Epidemiology, Data Science or related field

PhD in Biostatistics, Epidemiology, Data Science or related field

Tools

Tempus

Flatiron

PharMetrics Plus

Job description

IQVIA LLC is seeking a senior data analyst to lead the development of analytic datasets and longitudinal analyses for observational oncology studies using real‑world data (claims, EMR, and lab data). The role requires strong R programming skills, substantial experience with EMR/claims data, and a track record in safety analyses.

You will collaborate with epidemiologists and statisticians to design analyses, prepare protocols and reports, and manage multiple complex studies within the DATS