Epidemiological Programmer, Real World Evidence - Fsp (sponsor – Dedicated)

IQVIA

Base: $88,300.00 - $220,900.00; bonus/equity: depe...
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Real world evidence (rwe) analysis
Sas and/or r statistical programming
Observational study design expertise
** IQVIA is seeking an Epidemiological Programmer to join its Real World Evidence team, focusing on observational studies in virology. The ideal candidate should have substantial experience in statistical programming and epidemiological study design, specifically using real-world data sources. **

Job Summary

  • This role involves leading the development of datasets and conducting longitudinal analyses for observational studies within the virology therapeutic area.
  • The successful candidate will act as a steward of client best practices and standards underlying the use of real-world data (RWD).
  • IQVIA offers a competitive base pay range of $88,300.00 to $220,900.00 along with potential incentive plans and comprehensive health benefits.

Matching Summary

Match Score: 75

** IQVIA is seeking an Epidemiological Programmer to join its Real World Evidence team, focusing on observational studies in virology. The ideal candidate should have substantial experience in statistical programming and epidemiological study design, specifically using real-world data sources. **

Salary

Base: $88,300.00 - $220,900.00; Bonus/Equity: Dependent on position offered; Benefits: Health, welfare, and other benefits included

Skills & Requirements

Must-have

  • Real World Evidence (RWE) analysis
  • SAS and/or R statistical programming
  • Observational study design expertise
  • EMR and claims data processing
  • Longitudinal and survival analysis

Nice-to-have

  • Virology therapeutic area knowledge
  • Propensity score methods experience
  • Strong communication with stakeholders
  • Managing multiple complex studies

Key Requirements

  • Master's degree in Biostatistics or related field
  • 5-8 years relevant experience or PhD with 3 years
  • Proficiency in advanced statistical programming using SAS/R
  • Experience with RWE study design and cohort building

Work Rights

Not specified

Tailored Resume

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