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Research Assistant, Institute of Gerontology

Job Details

Research Assistant, Institute of Gerontology

Wayne State University is searching for an experienced Research Assistant, Institute of Gerontology at its Detroit campus location.

Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.

Position Purpose:

The Research Assistant/Data Analyst will join the research lab in the Institute of Gerontology at Wayne State University ( Primary projects will focus on family and friend caregivers for individuals living with dementia (including an Alzheimer's Association funded study on dementia care management styles), dementia caregiving networks (a National Institute on Aging R01), caregiving in the context of COVID-19, and biopsychosocial factors relating to the health and well-being of older adults. This position offers the opportunity to build and develop skills related to research and gerontology including leading presentations and manuscripts for publication in academic and healthcare journals and the chance to solve real pressing problems in the field of gerontology.

Essential Functions:

Data management (e.g., merging datasets, longitudinal data management, merging Medicare claims, creating variables)

Data analysis (e.g., advanced multivariate analyses such as latent class analysis, machine learning methods, longitudinal analysis, linear and logistic regression)

Description and interpretation of study results

Assisting in the writing of methods and results sections for papers and proposals

Other duties as assigned

Minimum Qualifications:

Education: Bachelor’s degree

• Master’s degree in a quantitative field, such as biostatistics, statistics, epidemiology required.

Experience: Experienced (minimum 2 years of job-related experience)

• 1-2 years of experience using relevant statistical software (R, SAS, SPSS).


Knowledge, Skills, and Abilities:

• Experience utilizing statistical models including latent class models, machine learning models, linear and logistic regression, mixed effects models, structural equation models.

• Demonstrated ability to manage multiple projects at the same time.

• Prior experience working with survey and/or healthcare data.

• Comprehensive knowledge of statistical methods.

• Intellectual flexibility to adapt to emerging results and research.

• Self-starter, organized, persistent, solution oriented.

• Effective communicator, especially when describing complex statistical models & results.

• Willingness to teach others and learn new techniques.

• Ability to work independently and as part of a team.


H09 - Research

Primary department:

H0915 - Institute of Gerontology

Employment type:
  • Regular Employee
  • Job type: Full Time
  • Job category: Research
Funding/salary information:
  • Compensation type: Annual Salary
  • Annual Salary: TBD
Working conditions:

This is a full time position, Monday through Friday with flexible daytime hours. Normal office environment. This position may be in-person, hybrid, or remote depending on preference.

Job openings:
  • Number of openings: 1
  • Reposted position: No
Background check requirements:

University policy requires certain persons who are offered employment to undergo a background check, including a criminal history check, before starting work. If you are offered employment, the university will inform you if a background check is required.

Equal employment opportunity statement:

Wayne State University provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. The university encourages applications from women, people of color and other underrepresented people. Wayne State is an affirmative action/equal opportunity employer.


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