SAS Programmer ( Pharma/Biotech )

Role: SAS Programmer
• *Pharma/Biotech exp must**

Remote!

Location: USA, Remote

Visa: Any visa

Job Description
• *This is a RWE Programmer position. The top 3 skills are:**

RWE/HEOR experience
• *Claims, EHR, EMR data**

. Not ETL or building dashboards or clinical trial data. This is purely a RWE position
SAS Programming skills

Pharma/Biotech experience. Insurance experience is ok and government experience isnt what we are looking for 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 regressionExperience 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

Experienced RWD Data Analysts Available - Remote