Sr. SAS Programmer

Remote • Posted 30+ days ago • Updated 2 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Research
  • Communication
  • Management
  • Documentation
  • Statistics
  • Mathematics
  • SAS
  • SQL
  • Regression Analysis
  • Health Care
  • Medicare
  • Database
  • Epidemiology
  • Biostatistics
  • Computer Science
  • Data Modeling
  • CDISC
  • Python
  • R
  • Databricks
  • Cloud Computing
  • Pharmaceutical Industry
  • Training

Summary

Job Description:
  • 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 Market Scan, 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91116760
  • Position Id: 6051c3f1908e541efc397c483caaa30e
  • Posted 30+ days ago
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