Apr
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The senior programmer 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
Master’s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content
Minimum four years SAS statistical programming experience
Experience with Oncology EMR databases such as Flatiron or McKesson
Experience with Oncology specific advanced statistical methods such as survival, regression, KM Curves, Censoring, etc.
Database programming using SQL
Experience with real world healthcare data such as MarketScan, Optum, EMR, PharMetrics, and/or Medicare databases
Candidates who only have experience with smaller research type analytic data will not be considered.
Preferred Qualifications
Training or experience using the OMOP common data model
Training or experience with Python, R, Databricks or other cloud-based software
Pharmaceutical industry experience
Training or experience in epidemiological methods
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Basic Qualifications
Master’s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content
Minimum four years SAS statistical programming experience
Experience with Oncology EMR databases such as Flatiron or McKesson
Experience with Oncology specific advanced statistical methods such as survival, regression, KM Curves, Censoring, etc.
Database programming using SQL
Experience with real world healthcare data such as MarketScan, Optum, EMR, PharMetrics, and/or Medicare databases
Candidates who only have experience with smaller research type analytic data will not be considered.
Preferred Qualifications
Training or experience using the OMOP common data model
Training or experience with Python, R, Databricks or other cloud-based software
Pharmaceutical industry experience
Training or experience in epidemiological methods
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