Research Analyst - Betthauser Lab
University of Wisconsin Madison | |
$65,000 up to $100,000 for highly experienced candidates and actual pay within this range will depend on experience and qualifications.
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sick time
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United States, Wisconsin, Madison | |
Oct 30, 2026 | |
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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.
Candidates who demonstrate the following knowledge, skills, and abilities will be given first consideration:
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 Medicineempowers 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 theDivision of Geriatrics and Gerontology, we help older adults live their healthiest lives. We lead comprehensive education,researchand clinical programs-in partnership with our world-class university, remarkable healthsystemand 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:
Preferred Qualifications:
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.
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 work until that time. If you are selected for this position you must provide proof of work authorization and eligibility to work. The department will not be able to support a request for a J-1 waiver. If you choose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees. Contact Information:Finnuella Carey, fjcarey@medicine.wisc.edu, 608-262-2071 Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information. Institutional Statement on Diversity: Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison is an Equal OpportunityEmployer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgroundsand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website. To request a disability or pregnancy-related accommodationfor any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR)in the division you are applying to.Please make your request as soon as possible to help the university respond most effectively to you. Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment. | |
$65,000 up to $100,000 for highly experienced candidates and actual pay within this range will depend on experience and qualifications.
sick time
Oct 30, 2026