Research Analyst – Betthauser Lab

Universities of Wisconsin•Madison, WI
•$65,000 - $100,000•Onsite

About The Position

The Betthauser Neuroimaging Lab in the University of Wisconsin–Madison School of Medicine and Public Health seeks a Research Analyst to work with Dr. Tobey Betthauser on NIH-funded studies and the Imaging Core for the Wisconsin Alzheimer’s Disease Research Center. The lab studies neuroimaging and biofluid biomarkers of neurodegenerative diseases, including Alzheimer’s disease, using temporal modeling, multi-cohort research, dementia risk modeling, and analysis of postmortem brain pathology in relation to antemortem biomarkers and clinical trajectories. The Research Analyst will apply statistical and temporal modeling methods to neuroimaging, biofluid biomarker, cognitive assessment, demographic, genetic, and related data. The work aims to understand the timing of disease processes, factors associated with disease onset, and relationships between disease timing, clinical symptoms, and postmortem confirmation of brain pathology. The role leads manuscript and scientific abstract writing, presents findings, analyzes and summarizes results, and provides scientific support and mentorship to lab staff and trainees in collaboration with Dr. Betthauser. This position is onsite at a designated campus work location. It is a terminal, 12-month appointment, currently scheduled to end one year from the date of hire. Extension or conversion to an ongoing appointment may be possible depending on need and/or funding.

Requirements

  • At least three manuscript publications in peer-reviewed journals as first or senior author.
  • At least one year of experience working in a team environment, academic setting, and/or scientific research group.
  • At least one year of experience working with mid- to large-sized datasets of hundreds to thousands of participants, including preparing, cleaning, and performing quality control for analysis.
  • At least one year of experience using at least one programming language, such as R, SAS, or Stata, to work efficiently with large datasets.
  • At least one year of experience developing statistical analysis plans, creating data visualizations, and conducting statistical analyses, such as descriptive statistics, survival analyses, regression models, linear-mixed effects models, or non-parametric methods.
  • Master’s degree required.
  • Strong communication, critical problem-solving, and project management skills, including the ability to translate complex research findings into actionable insights and process improvements.

Nice To Haves

  • Experience with aging and dementia research, neuropsychology, neuroimaging, and/or fluid biomarker data.
  • Familiarity with clinical and health research principles and regulations.
  • A degree focus in medical physics, psychology, neuroscience, biostatistics, or a related field.

Responsibilities

  • Serve as a subject matter expert and main point of contact regarding research analysis and operational processes for the research area.
  • Develop and implement processes, guide staff, analyze data, and summarize complex research results for a defined research area or study using established processes.
  • Design and implement processes for preparing reports and manuscripts, and lead presentation of materials through various communication platforms.
  • Contribute to unit strategies, research procedures, and analysis methodologies, and recommend improvements to leadership.
  • Apply statistical and temporal modeling methods to analyze neuroimaging, biofluid biomarkers, cognitive assessments, demographics, genetics, and related data.
  • Lead writing and publication of manuscripts in peer-reviewed journals.
  • Lead writing and presentation of abstracts at scientific meetings.
  • Analyze and summarize results and present research findings to internal and external stakeholders.
  • Provide scientific support to lab staff and students, including mentoring postdoctoral, graduate, and undergraduate trainees with Dr. Betthauser.

Benefits

  • Generous vacation, holidays, and sick leave
  • Competitive insurances and savings accounts
  • Retirement benefits
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