We are seeking a research Data Analyst in the Department of Oral Health Policy and Epidemiology (OHPE). This position will work with Dr. Hawazin Elani and her team which undertakes a range of health policy projects focused on disparities in oral health.

Specific responsibilities of this position include manage various datasets, estimate statistical models, report formats and other analysis considerations, determine and write statistical considerations and algorithms for protocol documents according to study design and appropriate statistical methods, manage and maintain documentation of files and analyses. This person will summarize and present findings as reports, tables, graphs, and models, and will collaborate on manuscripts, abstracts, and other publications documenting study findings. The person will be responsible for successful completion of these tasks within competing project timelines, and must ensure integrity of data collection, data review, data compilation, and analysis techniques. The person must follow proper procedures for working with confidential data in compliance with institutional and regulatory guidelines, including staying current with training requirements related to human subject's research and data security.

This job is ideal for someone with enthusiasm for empirical research and the ability and interest to learn new skills and take initiative as projects develop.

searches using various sources)

updates to funding agencies

projects and proposals

Conduct

Working Conditions: Work is performed in an office setting. Individual hybrid work options for this role will be discussed during the interview process.

Visa sponsorship is not available for this position.

Hawazin Elani
188 Longwood Avenue
Boston, MA 02115

$65,000-$85,000
Compensation for the selected candidate will be determined by several factors, years of experience, relevant training or qualifications, area of education/training/scholarship, and professional achievements.

research, oral health, health policy, data, machine learning, statistics