> Markdown version of [/jobs/ext/4012125-rwe-programmer-sas](https://www.wearedevelopers.com/jobs/ext/4012125-rwe-programmer-sas). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # RWE Programmer (SAS) - **Company:** Karwell Technologies Inc - **Location:** Woodbridge Township, NJ, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Cloud Computing, Computer Programming, Databases, Data Validation, Data Cleansing, Data Mining, Relational Databases, R (Programming Language), Python (Programming Language), Regression Analysis, Standard Sql, SAS (Software), SQL Databases, Data Processing, Programming Logic, Electronic Medical Records, Information Technology, Databricks - **Published:** October 29, 2026 - **Apply:** https://www.thejobnetwork.com/job/41d12ff5-d877-4702-a7b1-55f663263bf5/rwe-programmer-sas ## About the Role This role requires exceptional analytical and programming skills, attention to detail, and the ability to work independently in a fully remote environment., * 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., * 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. ## Description 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., * 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.