Postdoctoral Research Fellow Position: Health - Notre Dame, United States - University of Notre Dame

Mark Lane

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Mark Lane

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Description

Postdoctoral Research Fellow Position:
Health Equity Data Lab


Location:
University of Notre Dame


Open Date:
Oct 02, 2023


Deadline:


The vision of HEDL is to become the pre-eminent convening center of discussions, problem scoping, and solutions on health equity data and responsible AI for health & wellbeing.

Post-doctoral research associates will play a critical role in working with Notre Dame community and the industry to develop novel, groundbreaking research that helps execute this vision, supporting ongoing research projects and data analysis aimed at uncovering and addressing health disparities, and investigating the role of multiple social determinants of health in population well-being.

1.
Maternal Health
Working under the guidance of the Health Equity Data Lab Director and faculty lead Prof.

Santosh Kumar, the post-doctoral will extensively work on an impact evaluation project of maternal health and nutrition intervention in the state of Indiana.

The fellow will contribute to new and ongoing research activities, including formulation and execution of all stages of research.

You will also participate in collecting, managing, and analyzing data, generating reports, and presenting key findings from the research work.

2.


Health Equity-Specific Provocations:

1) Social Determinants of Health

2) Health Equity Data Index

3) Beyond Human Resources - the health and well-being of communitities

4) The Health Workforce of the Future

Under each of these provocations are research projects that are supported by Notre Dame academic community and partnering industries. All current and future projects have the potential to make a large impact in the health equity data field.


Qualifications:


  • Ph.
D.

in a relevant field (e.g., Economics, public health, Public Policy, epidemiology, statistics, global health) with strong quantitative and writing skills.


  • Expertise in applied microeconomics methods and research design and data analysis
  • Experience in designing and conducting empirical research in nutrition, maternal child health, public health, and social determinants of health.
  • Demonstrated experience in qualitative or quantitative research skills, including data analysis and interpretation, excellent written and oral communication skills, and ability to work independently and with interdisciplinary collaborators.
  • Experience in causal analysis, spatial analysis Arc GIS, QGIS, qualitative analysis software (NVivo, Atlas), programming languages (e.g. R, Python, Stata). Substantial experience with randomized controlled trials and/or machine learning strongly preferred
  • Excellent organizational and project management skills with attention to detail; ability to work in a diverse team environment that includes both academia and health and business industry teams; commitment to promoting health equity and addressing disparities in population health
Position starts immediately. Women, minorities, and members of other underrepresented groups are especially encouraged to apply.


Equal Opportunity Employment Statement
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