RWE Programmer (SAS)

Katalyst Talent Agency
Woodbridge Township, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote
Woodbridge Township, United States of America

Tech stack

Cloud Computing
Computer Programming
Databases
Data Validation
Data Cleansing
Data Mining
Relational Databases
R
Python
Regression Analysis
Standard Sql
SAS (Software)
SQL Databases
Data Processing
Programming Logic
Electronic Medical Records
Information Technology
Databricks

Job description

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.

Requirements

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.

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