Senior R Programmer/Analyst – RWD & Analytics

SimulStat; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

SimulStat Incorporated is seeking a Senior R Programmer Analyst to support real-world data and analytics. This remote, long-term role involves expert-level R programming (SAS preferred) under HEOR analytics leadership.

You will work with claims data, EHR data, and other sources, delivering analyses, documentation, and timely results while collaborating with project leaders and cross-functional teams.

Qualifications

• Master’s degree in epidemiology, biostatistics, public health, or related field; 7+ years of hands-on programming with healthcare data.
• Experience with major claims databases (MarketScan, Optum, Medicare LDS SAF, Komodo) and electronic health record data.
• Strong R skills, including Shiny, and working knowledge of SAS.

Responsibilities

• Understand analytic requests and study specs; execute queries against claims and EHR data with high-quality documentation.
• Respond to project leadership requests; work independently to meet timelines.
• Communicate methods and results clearly, balancing detail with the big picture.

Skills

R programming

Shiny

SAS

Independent work

Education

Master’s degree in epidemiology/biostatistics/public health

Tools

R programming

SAS

Shiny

MarketScan/claims databases

Job description

Senior R Programmer Analyst, Real-World Data and Analytics

Long-term, remote, FSP role

In this role, you will conduct hands‑on programming (expert-level R, with proficiency in SAS also desired) in support of real‑world data and analytics engagements, working under the guidance of our HEOR analytics leadership.

Responsibilities

• Understand and clarify analytic requests and study specifications, then execute queries against claims, EHR, and other real-world data sources with accuracy and high-quality documentation.
• Respond to project leadership requests in a timely manner, working independently to meet aggressive, shifting timelines.
• Communicate methods and results clearly and professionally, balancing attention to detail with the big picture.

Qualifications

• Master’s degree in epidemiology, biostatistics, public health, or a related field, with 7+years of hands‑on programming experience using healthcare data.
• Practical experience working with major claims databases (such as MarketScan, Optum, Medicare LDS SAF, or Komodo) and electronic health record data. Strong R skills, including Shiny, and working knowledge of SAS.
• Solid grounding in statistical techniques like survival analysis and generalized linear modeling.