RWE Programmer (SAS)

Creative Solutions Services, LLC; Port Reading (NJ); On-site; USD 110,000 - 160,000; Full time

Job summary

Creative Solutions Services, LLC is seeking an experienced Real World Evidence (RWE) Programmer to support observational research and healthcare data analytics for pharma/biotech clients. You will develop SAS programs, build cohorts, and create analysis datasets from large claims and EHR databases.

The ideal candidate has 4+ years in SAS, strong SQL and R skills, and hands-on RWE project experience. This role focuses on data quality, reproducible workflows, and cross-functional collaboration in

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Biostatistics, or related quantitative field.
• Minimum 4 years SAS statistical programming experience.
• Strong experience with SQL and relational databases.
• Hands-on experience with R programming.
• Experience with Real World Evidence (RWE) projects.
• Strong understanding of observational research methods and epidemiology.
• Experience creating patient cohorts and longitudinal datasets.
• Experience with survival analysis and regression techniques.
• Experience working with healthcare claims and EHR databases such as MarketScan, Optum, Medicare.
• Prior pharmaceutical/biotechnology industry experience required.
• Excellent analytical, communication, organizational, and documentation skills.

Responsibilities

• Develop, maintain, and validate SAS programs to manipulate and analyze large healthcare datasets.
• Design and create complex analysis datasets from multiple data sources.
• Build patient cohorts and evaluate healthcare events using observational research methodologies.
• Perform data cleaning, validation, and quality checks to identify outliers and ensure data accuracy.
• Write efficient SQL queries for data extraction, transformation, and reporting.
• Collaborate with epidemiologists, biostatisticians, and cross-functional teams to support RWE studies.
• Generate reports and documentation supporting research and analytics initiatives.
• Ensure programming deliverables meet quality standards and project timelines.
• Maintain clear documentation for programming logic, data processing, and validation activities.

Skills

SAS Programming

SQL

R Programming

Real World Evidence

Healthcare Claims Data

Electronic Health Records

Patient Cohort Development

Epidemiology

Survival Analysis

Regression Analysis

Data Validation

Statistical Programming

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, Biostatistics, or related quantitative field

Job description

Job Summary

We are seeking an experienced Real World Evidence (RWE) Programmer with strong SAS, SQL, and R programming expertise to support observational research and healthcare data analytics initiatives for pharmaceutical and biotechnology clients. The ideal candidate will have hands-on experience working with large-scale healthcare claims and Electronic Health Record (EHR) databases, developing patient cohorts, and creating high-quality analysis datasets for real-world evidence studies.

Responsibilities

• Develop, maintain, and validate SAS programs to manipulate and analyze large healthcare datasets.
• Design and create complex analysis datasets from multiple data sources.
• Build patient cohorts and evaluate healthcare events using observational research methodologies.
• Perform data cleaning, validation, and quality checks to identify outliers and ensure data accuracy.
• Write efficient SQL queries for data extraction, transformation, and reporting.
• Collaborate with epidemiologists, biostatisticians, and cross-functional teams to support RWE studies.
• Generate reports and documentation supporting research and analytics initiatives.
• Ensure programming deliverables meet quality standards and project timelines.
• Maintain clear documentation for programming logic, data processing, and validation activities.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, Biostatistics, or a related quantitative field.
• Minimum 4 years of SAS statistical programming experience.
• Strong experience with SQL and relational databases.
• Hands-on experience with R programming.
• Experience working with Real World Evidence (RWE) projects.
• Strong understanding of observational research methods and epidemiology.
• Experience creating patient cohorts and longitudinal healthcare datasets.
• Experience with advanced statistical methods, including survival analysis and regression techniques.
• Experience working with healthcare claims and EHR databases such as:
• MarketScan.
• Optum.
• Medicare.
• Prior experience directly supporting pharmaceutical or biotechnology companies is required.
• Excellent analytical, communication, organizational, and documentation skills.

Preferred Qualifications

• Master's degree in Epidemiology, Biostatistics, Computer Science, Statistics, or a related discipline.
• Experience working with the OMOP Common Data Model (CDM).
• Knowledge of CDISC standards.
• Experience with Python, Databricks, or other cloud-based analytics platforms.
• Pharmaceutical industry programming experience.
• Additional training or experience in epidemiological methods.

Required Skills

• SAS Programming
• SQL
• R Programming
• Real World Evidence (RWE)
• Healthcare Claims Data
• Electronic Health Records (EHR)
• MarketScan
• Optum
• Medicare Data
• Patient Cohort Development
• Epidemiology
• Survival Analysis
• Regression Analysis
• Data Validation
• Statistical Programming.