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

IQVIA

Durham, United States
Base: $88,300.00 - $220,900.00; bonus/equity: ince...
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Statistical programming using sas and/or r
Sql proficiency
Epidemiological study design
** IQVIA is seeking an Epidemiological Programmer for its Real World Evidence team, focusing on virology studies. The ideal candidate should possess expertise in observational research, statistical programming, and have a background in pharmaceuticals, with a strong emphasis on handling real-world data. **

Job Summary

  • Lead development of analytic datasets and conduct longitudinal analyses for observational studies in the virology therapeutic area.
  • Conduct and QC analyses, including identification of diagnosis and treatment codes and applying statistical methods.
  • Collaborate with epidemiologists on study design and methodology, and define specifications for descriptive and complex statistics.

Matching Summary

Match Score: 75

** IQVIA is seeking an Epidemiological Programmer for its Real World Evidence team, focusing on virology studies. The ideal candidate should possess expertise in observational research, statistical programming, and have a background in pharmaceuticals, with a strong emphasis on handling real-world data. **

Salary

Base: $88,300.00 - $220,900.00; Bonus/Equity: Incentive plans, bonuses may be offered; Benefits: Health and welfare and/or other benefits

Skills & Requirements

Must-have

  • Statistical programming using SAS and/or R
  • SQL proficiency
  • Epidemiological study design
  • Cohort building and RWE outcome measures
  • Observational research with EMR and claims data
  • Longitudinal and survival analysis

Nice-to-have

  • Client best practices and standards stewardship
  • Communication with stakeholders
  • Independent problem-solving for complex studies

Key Requirements

  • Master's Degree with 5-8 years relevant experience or PhD with 3 years relevant experience
  • Prior pharmaceutical experience
  • Demonstrated proficiency in advanced statistical programming using SAS and/or R, macros, SQL
  • Demonstrated experience and applied proficiency of RWE study design, terminology, cohort building, and analytic methodologies

Work Rights

Not specified

Tailored Resume

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