Senior Statistical Programmer (RW/Data)

Syneos Health/ inVentiv Health Commercial LLC

Morrisville (NC)

On-site

USD 81,000 - 145,000

Full time

14 days+
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Benefits offered by this job

Company car/allowance
Health benefits
401k match
Stock purchase plan
Paid time off

Job summary

Syneos Health is seeking a highly skilled Statistical Programmer for RW data analyses, supporting epidemiologists and sponsors across US/UK/Canada. You will develop programs using SAS/R, manage datasets, and generate tables, listings and graphs per SAP, with emphasis on data quality and protocol compliance.

Experience with Optum, HealthVerity, IQVIA PharmMetrics and OMOP CDM is highly desirable. Strong SQL, problem solving and communication are essential for project success.

Qualifications

  • Undergraduate or master's degree in biostatistics, epidemiology or related field.
  • Extensive programming experience in SAS, R, Python or similar.
  • Excellent written and verbal English.
  • Ability to read, write, speak and understand English.
  • Experience with eHR and claims data is a plus.

Responsibilities

  • Develop programs and provide statistical programming support for epidemiologists or client needs.
  • Create analysis datasets, tables, listings and graphs per SAP.
  • Review data and outputs against protocol requirements and escalate issues.
  • Transform healthcare data into a common format (OMOP CDM).
  • Prepare data specifications and collaborate on study protocols.
  • Work across multiple projects and manage timelines.

Skills

SQL
SAS
R
Python
Data analysis
AI/ML modeling

Education

Undergraduate or master's degree in biostatistics/epidemiology/statistical discipline

Tools

Optum
HealthVerity
IQVIA
PharmMetrics
MarketScan
VA data
Medicaid
Medicare

Job description

Syneos Health is seeking a highly skilled Statistical Programmer for RW data analyses, supporting epidemiologists and sponsors across US/UK/Canada. You will develop programs using SAS/R, manage datasets, and generate tables, listings and graphs per SAP, with emphasis on data quality and protocol compliance.

Experience with Optum, HealthVerity, IQVIA PharmMetrics and OMOP CDM is highly desirable. Strong SQL, problem solving and communication are essential for project success.

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