UW School of Medicine and Public Health
Data Scientist II
UW School of Medicine and Public Health – Wisconsin Alzheimer’s Institute (WAI)
Job Summary The Wisconsin Registry for Alzheimer’s Prevention (WRAP), one of the world’s largest and longest‑running studies of adults at risk for Alzheimer’s disease, is seeking a Data Scientist II to join our data and informatics team at the Wisconsin Alzheimer’s Institute. In this role you will work closely with database administrators, biostatisticians, and investigators to prepare and analyze longitudinal datasets, create visualizations and reports, develop and maintain automated pipelines, implement reproducible workflows and documentation, and deliver collaboration‑ready data for internal projects and global partners. This position directly supports grant deliverables and contributes to publications and data sharing that advance biomarker and imaging science.
Work Schedule & Location
Flexible schedule to be determined at the time of hire.
Some work may be performed in person on campus, and some may be performed remotely at a non‑campus location.
Key Responsibilities
Compose and assemble reproducible workflows and reports to clearly articulate patterns to researchers and administrators.
Document approaches to address research questions and contribute to the establishment of reproducible research methodologies and analysis workflows.
Prepare data sets for analysis, including cleaning, quality assurance, transformations, restructuring, and integration of multiple data sources.
Identify and implement appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher, including data visualization, statistical analysis, machine learning, and data mining.
Organize and automate project steps for data preparation and analysis.
Required Qualifications
Experience processing data using R in research or biomedical projects.
Ability to implement reproducible research practices, including scripted workflows and documentation.
Proficiency in R for data visualization, statistical analysis, and automation.
Preferred Qualifications
Experience monitoring and optimizing data pipelines in research or biomedical settings.
Experience with containerization or environment management tools (e.g., Docker, renv) for reproducibility.
Experience mentoring others in coding best practices and reproducible workflows.
Soft skills: organization, attention to detail, commitment to data quality, and ability to communicate effectively with individuals from diverse backgrounds.
Education Master’s degree preferred; focus in Data Science, Statistics, Biostatistics, Computer Science, Computational Biology, Bioinformatics, Epidemiology, Quantitative Social Sciences, Public Health, with a strong emphasis on data analysis OR equivalent years of experience working with R pipelines in a professional setting.
Compensation & Benefits Starting salary $75,000 (negotiable based on experience and qualifications). Benefits include generous vacation, holidays, sick leave, competitive insurances and savings accounts, and retirement benefits. For more information, refer to the campus benefits webpage and the SMPH Academic Staff Benefits Flyer.
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 all required documents in that field, either as a single combined file or as multiple files in the same upload area. Required documents:
Cover Letter
Resume
University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring continuous eligibility to work in the United States (citizen or national of the United States, lawful permanent resident, or foreign national authorized to work without employer sponsorship). This position is ongoing and will require continuous work eligibility. If selected you must provide proof of work authorization and eligibility to work.
Contact Information Ramiro Rea Reyes, PhD, rreareyes@medicine.wisc.edu
Institutional Statement on Diversity & Equal Opportunity 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 opinions enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inseparable goals.
UW‑Madison is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, veteran status, or any other protected class as defined by federal or state law.
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Job Summary The Wisconsin Registry for Alzheimer’s Prevention (WRAP), one of the world’s largest and longest‑running studies of adults at risk for Alzheimer’s disease, is seeking a Data Scientist II to join our data and informatics team at the Wisconsin Alzheimer’s Institute. In this role you will work closely with database administrators, biostatisticians, and investigators to prepare and analyze longitudinal datasets, create visualizations and reports, develop and maintain automated pipelines, implement reproducible workflows and documentation, and deliver collaboration‑ready data for internal projects and global partners. This position directly supports grant deliverables and contributes to publications and data sharing that advance biomarker and imaging science.
Work Schedule & Location
Flexible schedule to be determined at the time of hire.
Some work may be performed in person on campus, and some may be performed remotely at a non‑campus location.
Key Responsibilities
Compose and assemble reproducible workflows and reports to clearly articulate patterns to researchers and administrators.
Document approaches to address research questions and contribute to the establishment of reproducible research methodologies and analysis workflows.
Prepare data sets for analysis, including cleaning, quality assurance, transformations, restructuring, and integration of multiple data sources.
Identify and implement appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher, including data visualization, statistical analysis, machine learning, and data mining.
Organize and automate project steps for data preparation and analysis.
Required Qualifications
Experience processing data using R in research or biomedical projects.
Ability to implement reproducible research practices, including scripted workflows and documentation.
Proficiency in R for data visualization, statistical analysis, and automation.
Preferred Qualifications
Experience monitoring and optimizing data pipelines in research or biomedical settings.
Experience with containerization or environment management tools (e.g., Docker, renv) for reproducibility.
Experience mentoring others in coding best practices and reproducible workflows.
Soft skills: organization, attention to detail, commitment to data quality, and ability to communicate effectively with individuals from diverse backgrounds.
Education Master’s degree preferred; focus in Data Science, Statistics, Biostatistics, Computer Science, Computational Biology, Bioinformatics, Epidemiology, Quantitative Social Sciences, Public Health, with a strong emphasis on data analysis OR equivalent years of experience working with R pipelines in a professional setting.
Compensation & Benefits Starting salary $75,000 (negotiable based on experience and qualifications). Benefits include generous vacation, holidays, sick leave, competitive insurances and savings accounts, and retirement benefits. For more information, refer to the campus benefits webpage and the SMPH Academic Staff Benefits Flyer.
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 all required documents in that field, either as a single combined file or as multiple files in the same upload area. Required documents:
Cover Letter
Resume
University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring continuous eligibility to work in the United States (citizen or national of the United States, lawful permanent resident, or foreign national authorized to work without employer sponsorship). This position is ongoing and will require continuous work eligibility. If selected you must provide proof of work authorization and eligibility to work.
Contact Information Ramiro Rea Reyes, PhD, rreareyes@medicine.wisc.edu
Institutional Statement on Diversity & Equal Opportunity 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 opinions enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inseparable goals.
UW‑Madison is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, veteran status, or any other protected class as defined by federal or state law.
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