Research Analyst

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How to Apply

A cover letter and resume are required for consideration for this position. The cover letter should be included in the same document as your resume and address your interest in this position and outline particular skills and experience directly related to this position.

Summary

The Department of Environmental Health Sciences in the School of Public Health at the University of Michigan has a position opening for a Research Analyst with expertise in geospatial and statistical analyses to work with a dynamic research team focusing on amyotrophic lateral sclerosis (ALS), a devastating neurological disease. Our multidisciplinary team includes neurologists, immunologists, basic scientists, biostatisticians, environmental scientists, epidemiologists, bioinformaticians, and data managers. This individual will be working with data from study participants, publicly available datasets, and environmental models to understand the role of environmental factors potentially involved with ALS risk.

We are looking for a dynamic, committed and responsible individual with demonstrated expertise with GIS and statistical software including but not limited to ArcGIS, SAS, SaTScan, GeoDa, and/or R, and who has the ability to draft and implement data management and analysis plans based on the study design. The individual should be able to work independently and collaboratively as a part of a team to provide geospatial statistical support. The individual should have strong oral and written communication skills, and the ability to explain technical concepts and applications to non-GIS project partners. In addition, the individual should be willing to learn and adapt to evolving geospatial and other technologies, and have interest and strong interactions with project partners in informatics, biostatistics, environmental health sciences, neurology, and other fields. Knowledge of and experience with concepts and methods in environmental health sciences, epidemiology and biostatistics is advantageous, including environmental exposures (e.g., air and water pollution, mixtures, associated datasets and models), advanced data techniques (e.g., data integration and artificial intelligence), and health surveillance (e.g., longitudinal and survival analysis). This is a term limited position, renewable based on available funding.

Responsibilities*

The duties of the position follow but are not limited to the following over the term of the appointment:

  • Organize and utilize datasets and apply statistical and physically-based models to estimate potential for exposure.
  • Use GIS and statistical tools to map and analyze environmental, demographic, and disease related information, ALS outcome data.
  • Analyze relationships and trends among geographic features, exposures, disease status using appropriate geospatial analysis.
  • Support interdisciplinary teams in analyses, drafting presentations, reports and scholarly publications.

Required Qualifications*

• Masters’ degree with 2-4 years experience or PhD with 1-2 year experience with GIS and/or related analyses. An advanced degree in Public Health, Math, Statistics, Geography, Engineering, or a related field and appropriate experience is desired. Minimum qualification of a Bachelor's degree in recognized field of science directly related to the position.
• Experience with GIS and statistical software including but not limited to ArcGIS, SAS, SaTScan, GeoDa, and R.
• Ability to work independently and as a part of a team to provide geospatial statistical support.
• Ability to explain technical concepts and applications to non-GIS project partners.
• Willingness to learn, adapt and apply evolving geospatial technologies.
• Excellent oral and written communication skills.
• Ability to draft and implement data management and analysis plans based on study design.
• Knowledge of concepts and methods in environmental health sciences, epidemiology and biostatistics.
• Flexibility and ability to work independently and collaboratively with multiple researchers.

Desired Qualifications*

• Familiarity with environmental exposures, such as air and water pollution, and associated datasets and models.
• Experience with data integration, the analysis of chemical mixtures, and machine learning.
• Experience with other datasets, including longitudinal and survival data, and environmental exposure data.

Additional Information

We are seeking an experienced and dynamic employee with a commitment to contributing to a diverse, equitable and inclusive environment for all members of our community.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.

U-M COVID-19 Vaccination Policy

COVID-19 vaccinations are now required for all University of Michigan students, faculty and staff across all three campuses, including Michigan Medicine.  This includes those working or learning remotely.  More information on this policy is available on the Campus Blueprint website or the U-M Dearborn and U-M Flint websites.