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.
Requirements:
Master's degree in Epidemiology, Biostatistics, Computer Science, or other subjects with high statistical content.
Experience with advanced statistical methods such as survival and regression.
Experience with real world healthcare claims and EHR data such as MarketScan, Optum and Medicare databases.
Minimum five years SAS statistical programming experience.
Database programming using SQL.
Hands on CDISC/SDTM/ADaM experience.
Experience using the OMOP common data model.
Training or experience with Python, R, Databricks or other cloud-based software.
Training or experience in epidemiological methods.
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