Research Analyst – Betthauser Lab

University of Wisconsin Madison•Madison, WI

8d•Onsite

About The Position

The Betthauser Neuroimaging Lab in the School of Medicine and Public Health at the University of Wisconsin–Madison is seeking 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 temporal modeling of neuroimaging and biofluid biomarkers in neurodegenerative diseases, factors that influence biomarker and clinical progression, dementia risk models, and postmortem pathological correlates of imaging biomarkers and clinical trajectories. The Research Analyst will use statistical and temporal modeling methods to analyze 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 includes leading manuscripts and scientific abstracts, analyzing and communicating findings, and providing scientific support and mentorship to lab staff and student trainees in collaboration with Dr. Betthauser. This is a terminal, 12-month appointment, currently scheduled to end one year from the date of hire. The appointment may be extended or converted to an ongoing appointment depending on need and/or funding. Work must be completed onsite at a designated campus work location.

Requirements

At least three 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 efficiently interacting with mid- to large-sized datasets (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 efficiently interact 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, and 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.
Must be eligible to work in the United States through the scheduled one-year appointment; employer sponsorship is not available.

Nice To Haves

Experience working with aging and dementia research, neuropsychology, neuroimaging, and/or fluid biomarker data.
Familiarity with clinical and health research principles and regulations.
A Master’s 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 the 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 associated data.
Lead the writing and publication of manuscripts in peer-reviewed journals.
Lead the 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.