Postdoctoral Research Associate in Community-Engaged Maternal-Child and Indigenous Health

PhDFinder; Eau Claire, Menomonie (WI, WI); On-site; USD 61,000 - 71,000; Full time

Job summary

A leading university invites applications for a Postdoctoral Research Associate in Community-Engaged Maternal-Child and Indigenous Health. The role involves extensive research collaboration, data analysis, and manuscript preparation to address health disparities. Ideal candidates will have a PhD and robust data analysis skills, contributing to impactful community research.

Qualifications

• PhD required in relevant fields.
• Strong data analysis skills, especially in STATA/SAS.
• Demonstrated publication record in health-related fields.

Responsibilities

• Model and analyze survey and medical record data.
• Prepare manuscripts for academic publication.
• Manage databases and assist with project tasks.

Skills

Data analysis

Strong programming skills in STATA and/or SAS

Excellent communication skills

Organizational skills

Interpersonal skills

Time management

Education

PhD in epidemiology, global health, demography, sociology, human development, or social work

Tools

Microsoft Office

Citation software

Bibliographic databases

Job description

Postdoctoral Research Associate in Community-Engaged Maternal-Child and Indigenous Health

Postdoctoral Research Associate in Community-Engaged Maternal-Child and Indigenous Health

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University: University of Wisconsin–Madison

Country: United States

Deadline: 07/01/2025

The University of Wisconsin–Madison invites applications for a Postdoctoral Research Associate position focused on community-engaged research in maternal-child health, Indigenous health, and health disparities. The successful candidate will join an international team led by Professor Zoua Vang and collaborate closely with research associates and community stakeholders.

Requirements

– PhD in epidemiology, global health, demography, sociology, human development, or social work

– Strong data analysis/programming skills in STATA and/or SAS

– Experience with advanced statistics (e.g., longitudinal data analysis, logistic regression, survival analysis)

– Demonstrated publication record in maternal-child health, health disparities, or Indigenous health

– Experience working with administrative data and/or medical records is an asset

– Excellent oral and written communication skills in English

– Proficiency with Microsoft Office suite, citation software, and bibliographic databases

– Strong organizational, time management, and interpersonal skills

– Ability to work independently and manage multiple priorities

Responsibilities

– Model and analyze survey and medical record data

– Prepare manuscripts for academic publication

– Develop plain language materials (report summaries, infographics) for policy and community audiences

– Independently lead new manuscript development

– Contribute to funding proposals

– Assist with project-related tasks, including reports and presentations

– Manage, clean, and document databases

Application Instructions

Applicants should submit the following materials to [e-mail]:

• Cover letter (max 3 single-spaced pages, 11 pt font) outlining fit with the position and future research/career plans
• Curriculum vitae (CV)
• Writing sample demonstrating quantitative skills and research contributions
• Names and contact information for three professional references (references will not be contacted without permission; letters of recommendation are not required)
  
  

Priority will be given to applications received by July 1, 2025. The position will remain open until filled. The earliest possible start date is August 1, 2025. For inquiries, please contact Professor Zoua Vang at [e-mail].

Salary will follow the NIH Standard Postdoctoral Stipend schedule, with a minimum of $61,008 for 100% FTE with zero years of post-Ph.D. experience (as of October 2024).

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Seniority level

• Seniority level

  Internship

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Education

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