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Research Associate, Data Scientist, Research Scientist

Job in East Lansing, Ingham County, Michigan, 48823, USA
Listing for: Michigan State University
Seasonal/Temporary, Contract position
Listed on 2026-07-01
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist, Research Assistant/Associate
Job Description & How to Apply Below
Position: Research Associate-Fixed Term

Research Associate-Fixed Term

Applications are invited for a Post-Doctoral (Research Associate) position available in the Space Health and Community (SHAC) laboratory of Dr. Amber L. Pearson. The Lab is located in the Charles Stewart Mott Department of Public Health at Michigan State University. This position is a three-year appointment.

The SHAC lab is currently initiating a NIH-funded five-year study to examine the effects of historical structural racism on neighborhood conditions, with cascading effects on modern day child development. The post-doc Research Associate will contribute to numerous aspects of the project, including data processing, compilation, visualization, analysis, manuscript writing, and interpretation and dissemination of results.

Candidates must have experience in health research and spatial data analysis, the use of computational, statistical, and data scientific approaches for interdisciplinary research, and data integration involving both spatial and non-spatial data. We expect candidates to have substantial experience with statistical analysis and data management in R, Python, or Stata, as well as spatial analysis software. They are expected to bring particular interest in interdisciplinary research and to participate in and develop future interdisciplinary projects.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.

Doctorate
-PhD in Geography, Public Health, data science or related field

PhD in Geography, Public Health, data science, or related field

Demonstrated publication record

Proficiency in data management and analysis of geospatial data using R, Python, or Stata

Ability to work effectively and collegially in a team

Excellent time management skills and ability to work independently on multiple projects simultaneously

CV, Cover letter, names of 3 professional referees

Review of applications will continue until filled. Questions may be directed to Dr. Amber Pearson, apearson

Review of applications begins on 10/25/2024

Position Requirements
10+ Years work experience
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