Temporary Analyst

Northeastern University•Boston, MA

20h•Remote

About The Position

The Department of Public Health and Health Sciences is seeking a temporary, part-time Data Analyst to join the Crookes Lab. This role supports a research project focused on understanding healthcare utilization patterns among patients at community health centers across the U.S., with a focus on immigrants. The project investigates how state- and county-level social determinants of health affect cardiovascular preventive care use. The role involves conducting statistical analysis using electronic health records (EHR) and datasets on social determinants of health, as well as contributing to the preparation of peer-reviewed publications and conference presentations. This is a part-time, remote position requiring 20 hours per week. The ideal candidate will be experienced in R programming, have a strong foundation in biostatistics or epidemiology, and demonstrate interest in health equity and social determinants of health. Candidates should be self-motivated, committed to meeting deadlines, and open to collaborative communication throughout the research process.

Requirements

Master's degree in Biostatistics, Epidemiology, Public Health, or a related discipline
Demonstrated proficiency in R for data cleaning, merging, and statistical modeling
Experience conducting longitudinal and/or multilevel regression analysis
Strong written communication skills
Interest in health equity, healthcare access, or social determinants of health

Nice To Haves

Experience working with electronic health record (EHR) data

Responsibilities

Merge EHR data with external datasets related to social determinants of health
Conduct descriptive statistics, longitudinal analyses, and multilevel regression modeling in R
Create tables and visualizations to summarize analytic findings
Document methods and results for manuscript preparation
Prepare analytic outputs (tables, figures) for inclusion in manuscripts and conference abstracts
Communicate collaboratively with the research team to ensure analytic needs and timelines are met