Data Scientist II

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Job Profile:

Job Summary:

The Wisconsin Registry for Alzheimers Prevention (WRAP) one of the worlds largest and longest-running studies of adults at risk for Alzheimers disease is seeking a Data Scientist II to join our data and informatics team at the Wisconsin Alzheimers 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 Alzheimers Institute (WAI) in the Operational Area of WRAP WI Registry for Alzheimer Prevention

The Wisconsin Alzheimers Institute (WAI) supports the UW School of Medicine and Public Healths (SMPH) mission of advancing health and health equity through remarkable service to patients and communities outstanding education and innovative research.

Core values for WAI are service inclusive collaboration excellence empathy compassion and fairness. These values inform WAI efforts to lead innovative impactful programs with partners both in and outside SMPH and the University of Wisconsin-Madison. WAI goals are focused on helping people living with or at risk for Alzheimers disease or other dementia their caregivers and the health professionals working to support them.

Through research initiatives statewide memory clinic development education and public health programs focused on both the clinician and caregiver we identify and provide strategies to reduce dementia risk and offer access to effective care. WAI scientists and program leaders coordinate research-based education and events for caregivers and community members throughout Wisconsin and across the nation.

The WRAP study has collected 21 years of longitudinal data to identify early risk and resilience factors enabling biomarker discovery and translational science in partnership with collaborators worldwide.

Compensation:

The starting salary for the position is $75000; 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:

Masters 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:

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• 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.

University sponsorship is not available for this position including transfers of sponsorship and TN 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 an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work.

Contact Information:

Ramiro Rea Reyes PhD

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