RESEARCH DATA ANALYST, School of Public Health, Epidemiology

Research Data Analyst the Research Data Analyst will support a research program of principal investigators, staff, and students with statistical analyses, preliminary data for grant submission, and research manuscripts. Duties will involve developing data-processing pipelines primarily using R and SAS, conducting statistical analyses, and supporting the dissemination of coding products as well as research findings.

Functions of this role include, but are not limited to:

• Performing descriptive statistics, quantile regression, causal mediation, marginal structural modeling, and Markov Chain Monte Carlo simulations of cardiovascular disease and dementia-relevant population interventions.
• Implement reproducible data-processing pipelines from data management to robustness checks to sensitivity analyses using R and SAS.
• Maintain disparate sources of data, including cohorts, administrative claims, and electronic health records; clean large datasets for analytic use; harmonize multi-source data with matching-based methods for analysis.
• Contribute to the preparation of manuscripts, conference presentations, and grants by drafting methods sections, formatting result tables and figures, and preparing supplemental method and result sections.
• Document best practices for reproducible data preparation, manipulation, and statistical analysis for new lab members and students.

Required Skills

A Masters degree is required. 3-5 years of relevant experience Proven ability to work independently and as part of a team.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.