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Aaron sifuentes

@aaronsifuentes4

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Senior SAS/R programmer-analyst specializing in healthcare RWE, survival analysis, and reproducible analytics.

United States

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What I'm looking for

I seek roles applying R/SAS analytics to real-world healthcare data, with collaborative teams, reproducible workflows, and opportunities to influence HEOR/RWE studies.

I am a detail-oriented Senior Programmer/Analyst with over 11 years applying data science and analytics to healthcare and real-world data (RWD/RWE). I build reproducible R and SAS pipelines, develop R Shiny dashboards, and apply epidemiologic and biostatistical methods—including survival analysis and GLMs—to large claims and EHR datasets to support HEOR and evidence-generation efforts.

I collaborate across multidisciplinary teams to clarify study requirements, deliver high-quality documented results under tight deadlines, and maintain data provenance and audit-ready documentation. My work has included automating claims analyses with SAS macros, developing data quality and validation pipelines, and communicating complex analytic findings clearly to technical and non-technical stakeholders.

Experience

Work history, roles, and key accomplishments

Senior Programmer/Analyst

U.S. Bank

Aug 2022 - Nov 2025 (3 years 3 months)

Led extraction and analytics of claims and EHR datasets, built R Shiny dashboards and SAS macros to automate claims-based analyses, and applied survival and GLM methods to support RWE studies under tight timelines.

R R Shiny SAS Survival Analysis GLM SQL Data Curation

SAS/R Programmer/Analyst

Johnson & Johnson

Mar 2020 - Aug 2022 (2 years 5 months)

Executed RWD/RWE analytics using MarketScan, Optum and EHR datasets, developed automated data quality pipelines, and performed survival and longitudinal analyses to inform HEOR and epidemiology studies.

SAS R Market Scans Optum Survival Analysis Data Quality Epidemiology

Senior Health Data Analyst

Macy's

May 2018 - Mar 2020 (1 year 10 months)

Applied statistical modeling to claims and EHR data, built reusable R scripts and Shiny apps for visualization, and integrated large datasets with SQL and SAS to improve longitudinal analysis efficiency.

R R Shiny SQL SAS Statistical Modeling Data Integration Data Visualization Automation

Data Analyst

Accenture

Nov 2014 - May 2018 (3 years 6 months)

Developed R and SAS pipelines for claims and EHR integration, conducted exploratory analyses and built reproducible workflows to support healthcare analytics client engagements.

R SAS EHR Integration Claims Data Validation