Remote RWE Epidemiological Programmer - Oncology

Lifelancer Ltd; City Of London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

IQVIA is expanding its RWE FSP team in the London area, hiring a senior epidemiological programmer to lead longitudinal analyses and data set development for oncology studies within a single client portfolio.

The role emphasizes observational research using EMR, claims, and lab data, with strong statistics and advanced R programming skills. Experience with PharMetrics Plus, Flatiron, or Tempus is preferred.

Qualifications

• Master's degree with 5–8 years relevant experience or PhD with 3 years relevant experience.
• Strong track record in analysis of real-world data (RWD) using claims, EMR and lab data.
• Experience analyzing oncology data and safety outcomes is preferred.
• Proficiency in advanced R programming and statistics.
• Pharmaceutical industry experience and observational study design knowledge.

Responsibilities

• Lead development of analytic datasets through raw data processing and QC.
• Define patient populations, cohorts, and key variables for studies.
• Apply statistical methods to handle censoring, confounding, and missing data.
• Collaborate with epidemiologists to specify descriptive and complex statistics.
• Develop and QC study reports and manuscripts using RWD.
• Support protocols, SAPs, and study documents with technical expertise.
• Communicate timelines, progress, and results to project teams.

Skills

R programming

Observational study design

Statistical programming

Biostatistics

Data science

Epidemiology

Education

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

PhD in a related field

Tools

PharMetrics Plus

Flatiron

Tempus

Job description

IQVIA is expanding its RWE FSP team in the London area, hiring a senior epidemiological programmer to lead longitudinal analyses and data set development for oncology studies within a single client portfolio.

The role emphasizes observational research using EMR, claims, and lab data, with strong statistics and advanced R programming skills. Experience with PharMetrics Plus, Flatiron, or Tempus is preferred.