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.
This role requires exceptional analytical and programming skills, attention to detail, and the ability to work independently in a fully remote environment.
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.
- dditional 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.
