Apr
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– Long-term, remote, FSP support role:
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 MarketScan, 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
To Apply for this Job Click Here #J-18808-Ljbffr
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 MarketScan, 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
To Apply for this Job Click Here #J-18808-Ljbffr