Senior RW Programmer – Epidemiology Data Analytics

Syneos Health/ inVentiv Health Commercial LLC

Atlanta (GA)

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 (Medical, Dental, V is
401k
Employee Stock Purchase Plan
Bonuses/Commissions
Paid time off (PTO)
Sick time

Job summary

Syneos Health is seeking a data-focused statistical programmer to support epidemiologists and clients in RW data analyses. You will work with Optum, HealthVerity and IQVIA PharmMetrics data, develop analysis datasets, tables and graphs, and ensure protocol alignment.

The role requires SAS or R, SQL, and familiarity with ICD terminology and OMOP CDM. Experience with AI/ML workflows and GitHub is a plus; minimal travel may be required.

Qualifications

  • Experience with RW data analyses and programming for epidemiologist support.
  • Familiarity with eHR and claims data sources.
  • Proficiency in SAS or R and SQL; Python is a plus.
  • Knowledge of study protocols, data specs, and analysis datasets.

Responsibilities

  • Open to US, Canada, and UK only; no sponsorship.
  • Develop programs, tables, listings and graphs from RW data according to SAP.
  • Review outputs for protocol conformance and data quality; escalate issues.
  • Transform healthcare data into a common format (OMOP CDM).
  • Work with BI and programming teams; ensure project documentation and SOP compliance.
  • Minimal travel may be required.

Skills

Data experience
SAS
R
SQL
Python
OMOP CDM
ICD terminology
AI/ML
GitHub

Education

Undergraduate or Master's degree in a scientific or statistical discipline

Tools

Optum
HealthVerity
IQVIA PharmMetrics

Job description

Syneos Health is seeking a data-focused statistical programmer to support epidemiologists and clients in RW data analyses. You will work with Optum, HealthVerity and IQVIA PharmMetrics data, develop analysis datasets, tables and graphs, and ensure protocol alignment.

The role requires SAS or R, SQL, and familiarity with ICD terminology and OMOP CDM. Experience with AI/ML workflows and GitHub is a plus; minimal travel may be required.

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