<img height="1" width="1" alt="" style="display:none" src="https://www.facebook.com/tr?id=785769564843890&ev=PixelInitialized" />
Screen shot 2020 01 16 at 3.47.49 pm.png
Search for Jobs by Ali Henderson

Linkedin photo.jpg
Remote Epidemiology SAS programmer (Science & Biotech)
Homebased, CA 92122
Recruited by: Ali Henderson | Senior Recruiter | SimulStat Inc. See all my Jobs

  • Hiring Company: SimulStat
  • Industry: Science & Biotech
  • Compensation: Depends On Experience
  • Expires: Oct 04, 2020
Share this job:
Please ensure all fields are filled in and your resume is attached
Resume:


OR

Submit your information and resume instantly with Monster!

Job Description

The senior programmer position will be responsible for manipulating large databases and generating reports using SAS to enable analysts to explore real world healthcare data assets. Candidates must have excellent SAS programming skills and the ability to implement complex data step 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 (millions of records) and using observational research methods such as epidemiology and statistical methods is required. Experience in designing and building standard reporting packages and analysis tools also highly 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 industry SAS statistical programming experience
• Database programming using SQL or experience with advanced statistical methods such as survival and regression
• Experience with real world healthcare data such as MarketScan, Optum, EMR, EHR, DRG, PharMetrics, and/or Medicare databases. Candidates who only have experience with smaller research type analytic data will not be considered.

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
• Training or experience with Databricks, Spark SQL or Python
• Spotfire or Tableau developer experience
• Experience with FDA Sentinel System and Sentinel Common Data Model a plus
• Pharmaceutical industry experience