"Data Scientist II"

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 (WAI). 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.

• The work schedule is flexible and will be determined at the time of hire.
• This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location

Candidates who demonstrate the following knowledge, skills, and abilities, will be given first consideration: 1) Advanced proficiency in R programming, including development of automated data pipelines and reproducible workflows. 2) Expertise in data wrangling, quality control, and integration of complex, multi-source datasets. 3) Experience with version control (Git) and collaborative coding practices. 4) Ability to create dynamic, reproducible reports using Quarto/R Markdown and other modern reporting tools. 5) Familiarity with workflow automation and dependency management. 6) Strong communication and collaboration skills for cross-functional teams

Key Job Responsibilities

• Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
• Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
• Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
• Independently identifies and implements 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
• Organizes and automates project steps for data preparation and analysis

Department

School of Medicine and Public Health, Wisconsin Alzheimer’s Institute (WAI), in the Operational Area of WRAP WI Registry for Alzheimer Prevention

The Wisconsin Alzheimer’s Institute (WAI) supports the UW School of Medicine and Public Health’s (SMPH) mission of “advancing health and health equity through remarkable service to patients and communities, outstanding education, and innovative research.”

Compensation

The starting salary for the position is $75,000; but is negotiable based 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 Academic Staff Benefits Flyer

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 in data analysis OR equivalent years of experience working with R pipelines in a professional setting

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 . 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.

• Cover Letter
• Resume

Your cover letter should address how your training and experience align 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.

Contact Information

Ramiro Rea Reyes, PhD, rreareyes@medicine.wisc.edu