Bachelor's degree in Computer Science, Statistics, or Mathematics with statistical focus.
Minimum of four years of SAS programming experience.
Proficient in SQL for database programming.
Familiarity with advanced statistical methods including survival analysis and regression.
Experience with healthcare claims data and EHR data sources like MarketScan and Medicare.
Responsibilities
Manipulate large healthcare databases and generate informative reports.
Ensure accurate creation of complex analysis datasets from varied data sources.
Identify and handle outliers and errors in data vigilantly.
Build patient cohorts and assess healthcare events using observational research methods.
Exhibit strong communication and documentation skills in a remote work environment.
Benefits
Home-based work flexibility.
Opportunities for professional growth in statistical programming.
Exposure to a variety of real world healthcare data sources.
Collaboration with analysts to impact healthcare insights.
Full Job Description
Responsibilities:
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.
Requirements:
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.
