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Senior SAS programmer; RWE

Remote / Online - Candidates ideally in
North Tonawanda, Niagara County, New York, 14120, USA
Listing for: JobDiva, Inc.
Remote/Work from Home position
Listed on 2026-10-03
Job specializations:
  • IT/Tech
    Data Scientist, Data Engineering, Database Administrator, Data Analyst
Salary/Wage Range or Industry Benchmark: 110000 - 170000 USD Yearly USD 110000.00 170000.00 YEAR
Job Description & How to Apply Below
Position: Senior SAS programmer (RWE)
Summary:
  • The senior programmer position will be responsible for manipulating large databases and generating reports to enable analysts to explore real world healthcare data assets. Candidates must have excellent SAS and SQL programming skills and the ability to implement complex logic.
  • Candidates must be comfortable with creating complex analysis data sets derived from various data sources with a careful eye for outliers and errors.
  • Prior experience building patient cohorts and evaluating patient healthcare events in large databases and using observational research methods such as epidemiology and statistical methods is strongly desired.
  • Strong communication, time management, enthusiasm and documentation skills are essential in this home-based position.
Basic Qualifications:
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or other subject with high statistical content
  • Minimum four years SAS statistical programming experience
  • Database programming using SQL
  • Experience with advanced statistical methods such as survival and regression
  • Experience with real world healthcare claims and EHR data such as Market Scan, Optum and Medicare databases
Preferred Qualifications:
  • Master's degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content
  • Training or experience using the OMOP common data model
  • Experience working with CDISC standards.
  • Training or experience with Python, R, Databricks or other cloud-based software
  • Pharmaceutical industry experience
  • Training or experience in epidemiological methods
Position Requirements
10+ Years work experience
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