Part-Time Data Analyst at the Center for Violence Prevention Research: Remote U.S. Opportunity Paying $35 Per Hour

Overview

The Center for Violence Prevention Research is hiring a Part-Time Data Analyst to support quantitative research on preventing violence against women and children. The Center develops and evaluates community-based prevention strategies and asks whether a strategy works, and how, for whom and in what settings. The job is fully remote within the United States, with about 10 hours of work per week at $35 per hour. The analyst reports to the Senior Data Analyst and works across several projects.

What you get

Pay is $35 per hour. The Center also gives work-from-home stipends covering phone, internet, utilities and equipment, and supplies a computer and necessary software. Staff keep a home office with internet and phone, and the team remains collaborative through regular interaction.

Who can apply

Applicants need a Master's degree in statistics, epidemiology, public health, social work, psychology, data science or a related field, strong skills in R for data management and statistical analysis, experience cleaning and preparing datasets, experience with descriptive and inferential statistics, and an understanding of reproducible research including code documentation and version control. Experience with national surveillance systems, surveys, restricted-access administrative data, or sources such as NVDRS, NCANDS and vital records is preferred. Applicants must be authorised to work in the United States; remote work does not make the post open internationally.

Requirements

Duties include cleaning and validating survey and surveillance data, finding missing values, outliers, fraudulent responses and coding inconsistencies, preparing analysis-ready datasets, running descriptive and preliminary analyses, sensitivity checks and model diagnostics, answering ad hoc data requests, archiving code, maintaining codebooks and analysis pipelines, and preparing tables and figures for manuscripts and reports.

How to apply

Applicants prepare a cover letter, a resume or CV, and an optional but encouraged writing or code sample showing data management or analysis skills. No deadline is stated.