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Wisconsin

Research Analyst – Betthauser Lab

University of Wisconsin Madison

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hirly's read of this role

Seniority
Mid level
Stated salary
$65,000 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
31 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.

Job Category:

Academic Staff

Employment Type:

Terminal (Fixed Term)

Job Profile:

Research Analyst II

Job Summary:

The Betthauser Neuroimaging Lab, located within the School of Medicine and Public Health at the University of Wisconsin in Madison, Wisconsin, offers a unique opportunity for a Research Analyst to work with Dr. Tobey Betthauser.

Dr. Betthauser is the principal lab investigator for several NIH-funded studies and leads the Imaging Core for the Wisconsin Alzheimer’s Disease Research Center (ADRC). Dr. Betthauser’s research encompasses the development and application of novel temporal modeling methods for neuroimaging and biofluid biomarkers of neurodegenerative diseases (e.g., Alzheimer’s disease), multi-cohort study of factors that influence the timing of biomarker and clinical progression, generation of time-based dementia risk models, and postmortem brain pathological correlates of antemortem biomarkers and clinical trajectories using ex vivo MRI and quantitative pathology. Our lab highly values team science, a positive work environment, and a diversity of backgrounds, approaches, and competencies of coworkers and the populations we serve.

We are seeking a Research Analyst with a strong publication record and experience analyzing neuroimaging and biofluid biomarkers in the context of Alzheimer’s disease and related dementias. The Research Analyst will work on NIH-funded projects applying statistical and temporal modeling methods to analyze neuroimaging, biofluid biomarkers, cognitive assessments, demographics, genetics, and associated data, to understand the timing of disease processes, the factors that contribute to when disease begins, and how this timing relates to clinical symptoms and postmortem confirmation of brain pathology.

Responsibilities include leading writing and publication of manuscripts in peer-reviewed journals, leading writing and presenting abstracts at scientific meetings, analyzing and summarizing results, and presenting research findings to internal and external stakeholders; and providing scientific support to lab staff and students, including mentorship of postdoctoral, graduate and undergraduate student trainees with Dr. Betthauser.

  • This position requires work to be completed onsite, at a designated campus work location.
  • Terminal, 12 month appointment
  • This position has the possibility to be extended or converted to an ongoing appointment based on need and/or funding.

Candidates who demonstrate the following knowledge, skills, and abilities will be given first consideration:

Strong communication, critical problem-solving, and project management skills, with the ability to translate complex research findings into actionable insights and process improvements.

Key Job Responsibilities:

Serves as a subject matter expert and main point of contact regarding research analysis and research area operational processes

Develops and implements processes, guides staff, analyzes data, and summarizes complex research results for a defined research area or study by utilizing established processes

Designs and implements processes for the preparation of reports and manuscripts and leads the presentation of materials through various communication platforms

Contributes to the development of unit strategies, research procedures, and analysis methodologies and recommends improvements to leadership

Department:

School of Medicine and Public Health, Department of Medicine, Division of Geriatrics & Gerontology, Betthauser Neuroimaging Lab

Fueled by innovation yet grounded in kindness, the Department of Medicine empowers leaders to transform medicine and improve lives everywhere. We are committed to professional fulfillment and health equity. We strive to ensure that everyone in our department understands the importance of social impact and belonging—and is empowered to champion it in all they do. Join us and be a part of supporting our nationally recognized faculty, innovative medical education programs and exceptional clinical care as we work towards our vision of healthy people and healthy communities!

At the Division of Geriatrics and Gerontology , we help older adults live their healthiest lives. We lead comprehensive education, research and clinical programs—in partnership with our world-class university, remarkable health system and regional Veterans hospital. We are innovative, collaborative and compassionate. We strive for excellence and health equity. And we make an impact in Wisconsin and beyond.

Compensation:

The expected salary range for this position is $65,000 up to $100,000 for highly experienced candidates and actual pay within this range will depend on experience and qualifications.

Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage and the SMPH Faculty /Academic Staff Benefits Flyer 2026

Required Qualifications:

  • Evidence of at least 3 or more manuscripts publications in peer-reviewed journals as first or senior author
  • At least 1 year of experience working in a team environment, academic, and/or scientific research group.
  • At least 1 year of experience interacting efficiently with mid- to large-sized datasets (hundreds to thousands of participants), including preparing, cleaning, and performing quality control for analysis.
  • At least 1 year of experience with at least one programming language (such as R, SAS, or Stata) to interact efficiently with large data sets.
  • At least 1 year of experience with development of statistical analysis plans, creating data visualizations, and conducting statistical analyses (such as descriptive statistics, survival analyses, regression models, linear-mixed effects models, non-parametric methods).

Preferred Qualifications:

  • Experience working with aging and dementia research, neuropsychology, neuroimaging, and/or fluid biomarker data.
  • Familiarity with clinical/health research principles and regulations

Education:

Master’s degree required; focus in medical physics, psychology, neuroscience, biostatistics, or other related fields preferred.

How to Apply:

For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.

To apply for this position, select either “I am a current employee” or “I am not a current employee” under Apply Now. You will then be prompted to upload your application materials.

Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area. Failure to submit the required documents will result in no longer being considered for the position.

  • Cover letter required
  • Resume required

Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected

University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is currently scheduled to end one year from date of hire and will require eligibility to w

Original posting on Wisconsin's site ↗

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