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Senior SAS programmer (RWE)

Katalyst Healthcares and Lifesciences

Remote or New York, New York • 15d ago

Full-time

RWE Programmer (SAS)

Katalyst Healthcares and Lifesciences

Remote or New Jersey • 15d ago

Full-time

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

Summary:

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

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: cd41b516e96c1aa3ec1253a9703cfacd
Posted 30+ days ago

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