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The lead 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.
In addition to the above mentioned, the lead programmer will monitor/assess FSP programmers’ workload, oversee FSP programmers’ work product, and manage FSP programmers’ deliverables/timelines.
Strong communication, time management, enthusiasm and documentation skills are essential in this home-based position.
Basic Qualifications
• Master’s degree in Computer Science, Statistics, Mathematics, or other subject with high statistical content
• Minimum 5 years SAS statistical programming experience
• Prior experience as a lead programmer, overseeing the workload and deliverables of others
• 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 MarketScan, Optum, PharMetrics 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, Spark SQL, or other cloud-based software
• Pharmaceutical industry experience
• Training or experience in epidemiological methods