SAS/R Programmer
We are seeking a highly skilled SAS Programmer with demonstrated experience working with large-scale EHR and claims databases. In this role, you will support the extraction, transformation, and analysis of real-world healthcare data to generate insights for clinical studies, epidemiologic research, and regulatory submissions. The ideal candidate will have hands-on experience with large observational datasets such as SEER-Medicare, commercial claims, or electronic health records (EHR), and a solid understanding of epidemiologic and health outcomes research methods
Key Responsibilities:
• Develop, validate, and maintain SAS programs for data management, statistical analysis, and reporting of real-world healthcare data.
• Perform data extraction, cleaning, transformation, and analysis using SAS from complex longitudinal datasets such as EHRs and medical/pharmacy claims.
• Collaborate with epidemiologists, statisticians, and data scientists to define data specifications, analysis plans, and output requirements.
• Ensure data integrity and adherence to protocols, SOPs, and regulatory standards (e.g., CDISC, FDA guidelines).
• Document programming processes, data flows, and analytic methods for reproducibility and audit readiness.
• Participate in client meetings and communicate technical information to non-technical stakeholders.
Qualifications:Required:
• Bachelor's or Master's degree in Biostatistics, Epidemiology, Computer Science, Health Informatics, or related field.
• 3+ years of experience programming in SAS, especially with large healthcare datasets.
• Strong understanding of real-world data sources including EHRs (e.g., Epic, Cerner) and claims databases (e.g., MarketScan, Optum, Medicare).
• Experience with cohort creation, incidence/prevalence analysis, and longitudinal data modeling.
• Develop, validate, and maintain R scripts for data cleaning, transformation, and analysis of large RWD sources (e.g., SEER-Medicare, Optum, MarketScan, Flatiron, CPRD).
• Implement and document statistical analyses (e.g., descriptive statistics, survival analysis, regression modeling, propensity scoring).
• Collaborate with epidemiologists, statisticians, and HEOR scientists to generate high-quality, reproducible analytic outputs.
• Build efficient and well-documented data pipelines and ensure compliance with good programming practices (GPP).
• Create clear visualizations and analytic reports using R Markdown, Shiny, or similar tools.
• Contribute to analysis plans, QC documentation, and regulatory-grade deliverables
• Excellent analytical, problem-solving, and communication skills.
Preferred:
• Experience working in a CRO, pharma, payer, or HEOR/RWE consultancy environment.
• Experience integrating SAS with SQL databases or cloud-based analytics platforms.
• Familiarity with other statistical programming tools (e.g., R, Python) is a plus.
Job Type: Contract
Pay: $60.00 - $70.00 per hour
Expected hours: 40 per week
Experience:
• R language: 5 years (Required)
• HEOR: 5 years (Required)
• Real World Data: 5 years (Required)
• EHR: 5 years (Required)
Work Location: Remote
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Key Responsibilities:
• Develop, validate, and maintain SAS programs for data management, statistical analysis, and reporting of real-world healthcare data.
• Perform data extraction, cleaning, transformation, and analysis using SAS from complex longitudinal datasets such as EHRs and medical/pharmacy claims.
• Collaborate with epidemiologists, statisticians, and data scientists to define data specifications, analysis plans, and output requirements.
• Ensure data integrity and adherence to protocols, SOPs, and regulatory standards (e.g., CDISC, FDA guidelines).
• Document programming processes, data flows, and analytic methods for reproducibility and audit readiness.
• Participate in client meetings and communicate technical information to non-technical stakeholders.
Qualifications:Required:
• Bachelor's or Master's degree in Biostatistics, Epidemiology, Computer Science, Health Informatics, or related field.
• 3+ years of experience programming in SAS, especially with large healthcare datasets.
• Strong understanding of real-world data sources including EHRs (e.g., Epic, Cerner) and claims databases (e.g., MarketScan, Optum, Medicare).
• Experience with cohort creation, incidence/prevalence analysis, and longitudinal data modeling.
• Develop, validate, and maintain R scripts for data cleaning, transformation, and analysis of large RWD sources (e.g., SEER-Medicare, Optum, MarketScan, Flatiron, CPRD).
• Implement and document statistical analyses (e.g., descriptive statistics, survival analysis, regression modeling, propensity scoring).
• Collaborate with epidemiologists, statisticians, and HEOR scientists to generate high-quality, reproducible analytic outputs.
• Build efficient and well-documented data pipelines and ensure compliance with good programming practices (GPP).
• Create clear visualizations and analytic reports using R Markdown, Shiny, or similar tools.
• Contribute to analysis plans, QC documentation, and regulatory-grade deliverables
• Excellent analytical, problem-solving, and communication skills.
Preferred:
• Experience working in a CRO, pharma, payer, or HEOR/RWE consultancy environment.
• Experience integrating SAS with SQL databases or cloud-based analytics platforms.
• Familiarity with other statistical programming tools (e.g., R, Python) is a plus.
Job Type: Contract
Pay: $60.00 - $70.00 per hour
Expected hours: 40 per week
Experience:
• R language: 5 years (Required)
• HEOR: 5 years (Required)
• Real World Data: 5 years (Required)
• EHR: 5 years (Required)
Work Location: Remote
Apply tot his job
Apply To this Job