Senior SAS programmer (RWE)

JobDiva, Inc.; New York (NY); Remote; USD 110,000 - 170,000; Full time

Job summary

JobDiva, Inc. is seeking a senior programmer to manipulate large healthcare data assets and generate reports to empower analysts.

The role requires strong SAS and SQL programming skills and the ability to implement complex logic. The candidate will create analysis data sets from diverse sources, with careful attention to outliers, errors, and observational research methods such as epidemiology and survival analysis.

Qualifications

• Bachelor's degree in CS, statistics, math, or related field.
• At least four years SAS statistical programming experience.
• Database programming using SQL.
• Experience with survival and regression methods.
• Experience with real-world healthcare claims and EHR data (MarketScan, Optum, Medicare).

Responsibilities

• Manipulate large databases and generate reports for analysts.
• Create complex analysis data sets from multiple data sources.
• Build patient cohorts and evaluate patient healthcare events.
• Communicate findings clearly and document work in a home-based setting.

Skills

SAS programming

SQL

Survival analysis

Regression analysis

Epidemiology methods

Education

Bachelor's degree in CS/Statistics/Math

Master's in Epidemiology/Biostatistics

Tools

OMOP

CDISC standards

Python

R

Databricks

Job description

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