Job Description - Real-World Data Associate, R and Claims Analytics
About Medicus Economics Medicus Economics is a boutique, independently owned health economics and outcomes research (HEOR) consulting firm serving the life sciences industry. Our research is published in peer-reviewed journals, presented at scientific conferences, and included in submissions to health technology assessment agencies worldwide.
Position Description
We are seeking an experienced R analyst who can independently implement claims- and EHR-based HEOR studies, apply methodological judgment, review others’ work, and communicate effectively with colleagues and clients. This hands-on role combines technical analytics, research, and consulting across study design, analytic specifications, implementation, quality assurance, and dissemination. It offers substantial ownership of analytic work and close collaboration with experienced researchers and clients throughout the study lifecycle.
Location The position is based in Boston, MA, with an expected hybrid schedule of approximately two days per week in the office. We will also consider highly qualified candidates for fully remote work within the U.S.
Responsibilities
Write, test, and maintain R code for cohort creation, data management, and statistical analysis
Translate study protocols and statistical analysis plans into detailed, reproducible analytic implementations
Manage and analyze complex longitudinal healthcare data, including enrollment records, medical and pharmacy claims, and EHR data
Review and document analytic code to ensure accuracy and reproducibility
Develop and apply reusable code and standardized workflows that improve analytic efficiency and quality
Contribute to study protocols, project reports, client deliverables, slide decks, manuscripts, and other dissemination materials
Conduct background research to inform study design and interpretation
Collaborate across the research lifecycle, contributing to project management, proposal development, and client communications
Required Qualifications
Bachelor’s degree in a quantitative discipline
At least five years of relevant professional experience, including experience in healthcare consulting or research
Advanced proficiency in R, including data management, statistical analysis, visualization, reproducible reporting, and efficient processing of large datasets
Facility with commonly used R tools and packages, such as the tidyverse, data.table, ggplot2, and R Markdown or Quarto
Demonstrated experience managing and analyzing large administrative healthcare claims databases
Working knowledge of observational study design and statistical methods commonly used in HEOR
Strong written and verbal communication skills
Sustained attention to detail and high standards of quality
Preferred Qualifications
Experience managing and analyzing EHR data
Proficiency in Base SAS, the SAS macro language, SAS/STAT, and PROC SQL
Experience with large-scale data integration, distributed computing, or cloud-based analytics environments, such as Spark or AWS
Experience using Git/GitHub and platforms such as Posit Workbench in collaborative, reproducible development workflows
Advanced training or substantial applied experience in observational study design, causal inference, or statistical methods
Why Join Medicus?
At Medicus, you will be hands-on with the data, but you won’t be “just a programmer.” You’ll be part of a small, dynamic team where your work directly shapes client deliverables and impacts healthcare decisions. We offer a collegial environment, opportunities to learn and innovate, and the chance to contribute meaningfully from day one.
Applicants for employment must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Medicus Economics.
All Job Ads are subject to GrabJobs’s Terms of Service. We allow users to flag postings that may be in violation of those terms. Job Ads may also be flagged by GrabJobs moderation team. However, no moderation system is perfect, and flagging a posting does not ensure that it will be removed.
Be the first to receive the latest Others Full-Time Jobs in the US.
Setup your job alert:
By activating job alerts, I agree to GrabJobs Terms & Privacy Policy. I can unsubscribe to job alerts anytime.
Skip
GrabJobs is the no1 job portal in the US, connecting you to thousands of jobs fast!
Find the best jobs in the US, apply in 1 click and get a job today!