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How much do health disparities research jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for health disparities research in the United States is $26.47, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $29.33 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Health Disparities Research position, and why are they important?

A strong background in public health, epidemiology, or related fields, along with advanced research methods and data analysis skills, is essential for a career in Health Disparities Research. Familiarity with statistical software such as SPSS, SAS, or R, as well as experience with health databases and IRB protocols, is typically required. Effective communication, cultural competency, and strong collaboration skills help professionals excel in multidisciplinary teams. These abilities are crucial for generating robust findings and implementing interventions that address health inequalities in diverse communities.

What are some typical daily responsibilities for someone working in Health Disparities Research?

In Health Disparities Research, daily tasks often include designing and managing research studies, collecting and analyzing quantitative and qualitative health data, and preparing reports or academic publications. You may also work closely with community organizations, healthcare providers, or policy teams to gather insights and disseminate findings. Collaboration is highly valued, so expect regular team meetings, interdisciplinary project work, and public presentations. These activities not only contribute to a better understanding of health inequalities but also support the development of targeted, evidence-based interventions.

What is a Health Disparities Research job?

A Health Disparities Research job focuses on studying differences in health outcomes among various populations, often based on factors such as race, ethnicity, socioeconomic status, gender, or geographic location. Researchers in this field analyze data, identify barriers to care, and develop interventions to promote health equity. They may work in academic institutions, government agencies, healthcare organizations, or nonprofit groups. Their goal is to understand and reduce health inequalities to improve public health outcomes.

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Health Disparities Research jobs near you
Postdoctoral Research Associate in Disparities in Heart Failure PH-288

Postdoctoral Research Associate in Disparities in Heart Failure PH-288

Brown University

Providence, RI • On-site

Full-time

Posted 26 days ago

Brown University rating

7.8

Company rating: 7.8 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

196th of 539 rated colleges and universities

Job description

Description
The Department of Epidemiology at the Brown University School of Public Health invites applications for a full-time Postdoctoral Research Associate position that will be supported by an NIH-funded R01 grant titled, Racial/Ethnic Disparities in Heart Failure: A Cross-Cohort Collaboration (MPIs: Drs. Charles Eaton, Chanelle Howe and Norrina Allen). This grant will evaluate the magnitude and potential causes of racial/ethnic and sex disparities in incident heart failure and its subtypes and their prognosis. The impact of hypothetical lifestyle and clinical risk factor interventions on reducing racial/ethnic disparities in developing heart failure will also be evaluated. In addition, unsupervised machine learning phenomapping techniques will be used to evaluate subtypes of heart failure and their prognosis, including models stratified by race/ethnicity.
The Postdoctoral Research Associate will be affiliated with the Center for Epidemiologic Research at Brown and supervised by Dr. Chanelle Howe. The Postdoctoral Research Associate will receive mentorship and training in conducting heart failure disparities research and causal inference methods. The Postdoctoral Research Associate will complete data analyses as well as lead or assist in the publication and presentation of study findings. The Postdoctoral Research Associate will also generate consortium-related reports. A doctoral degree in Epidemiology, Biostatistics, or a related quantitative field as well as knowledge of SAS or R is required for the position. The position is for a minimum term of one-year, with the expectation of renewal.
Qualifications
Required and preferred qualifications:
  • A doctoral degree in Epidemiology, Biostatistics, or a related quantitative field is required
  • Knowledge of SAS or R is required
  • Experience analyzing complex cohort data is preferred
  • Experience with data harmonization is preferred
  • Experience with conducting health disparities research is preferred
  • Experience with the application of causal inference methods is preferred
  • Excellent communication (i.e., verbal and written) and collaborative skills are preferred

Application Instructions
The preferred start date for the position is January 1, 2022; however an earlier or later start date may be able to be negotiated. Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers applicants for employment without regard to, and does not discriminate on the basis of, gender, sex, sexual orientation, gender identity, national origin, age, race, protected veteran status, disability, or any other legally protected status. Review of applications will begin immediately and will continue until the position is filled or the search is closed. Candidates should apply with a cover letter (summarizing research experience, qualifications, and career goals, as well as addressing the applicant's reasons for applying for the position and their commitment to diversity, equity and inclusion and how the applicant intends to show this commitment in future work through scholarship, teaching, mentoring, service, or community engagement), curriculum vitae, sample publication or equivalent, and 3 letters of recommendation. Candidates should apply online at: apply.interfolio.com/90484

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