Research Data Scientist – Data Quality

Job not on LinkedIn

🔥 19 hours ago

🧀 Wisconsin – Remote

🧀 Wisconsin – Remote

💵 $90k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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University of Wisconsin-Madison

WebsiteLinkedInAll Job Openings

10,000+ employees

📚 Education

🏛️ Government

Education • Government

University of Wisconsin-Madison is a public research university and flagship campus of the University of Wisconsin System located in Madison, WI. It is one of the largest research institutions in the United States, investing more than $1 billion annually in research across the humanities, sciences, and applied fields, and emphasizes public service through the long-standing “Wisconsin Idea. ” The university offers undergraduate and graduate programs, community outreach, and extensive campus resources and athletics, while promoting diversity, inclusive excellence, and community engagement.

📋 Description

• Develop, implement, and operationalize data quality capabilities within the Wisconsin Health Data Hub • Design and maintain scalable data quality frameworks for clinical, biomedical, and research datasets • Perform data profiling and exploratory analysis to identify anomalies, missingness, inconsistencies, and quality issues • Develop statistical and computational methods, rules, thresholds, metrics, and validation criteria • Apply data science and machine learning techniques for anomaly detection and quality monitoring • Build automated validation and quality-control processes, reusable components, scripts, services, and APIs • Integrate quality checks and monitoring into cloud-based data pipelines and analytics environments • Collaborate with data engineers, data scientists, informaticians, architects, security specialists, researchers, and stakeholders • Improve data standardization, normalization, harmonization, interoperability, provenance, metadata, and documentation • Evaluate research readiness and limitations of datasets for analysis, modeling, AI, and research applications • Establish data quality governance policies, standards, definitions, procedures, and accountability frameworks • Communicate findings and recommendations to technical and non-technical stakeholders • Develop reproducible workflows, reports, dashboards, and data quality tools • Contribute to technology transfer and sustainable adoption across academic, healthcare, and industry research environments

🎯 Requirements

• 3 to 5 years’ professional experience in data science, research data management, data quality, data analytics, or a related technical field • Strong programming experience in Python, R, and SQL • Experience developing and implementing data quality processes, including profiling, validation, cleansing, standardization, anomaly detection, and quality monitoring • Experience with large-scale datasets and data processing pipelines across multiple structured and/or unstructured data sources • Ability to develop automated data quality rules, metrics, validation frameworks, and monitoring processes • Strong analytical and problem-solving skills • Ability to communicate complex data quality findings to technical and non-technical stakeholders • Must reside in Wisconsin or relocate within a reasonable timeframe • Continuous eligibility to work in the United States without employer sponsorship; university sponsorship, TN visas, and J-1 waivers are unavailable • Cover letter and resume required • PhD or terminal degree preferred in Data Science, Computer Science, Statistics, Biostatistics, Biomedical Informatics, Information Systems, or related technical field • Preferred: clinical, healthcare, or research data experience; healthcare data models and standards; cloud environments; Azure Synapse, MS Fabric, ADF; EHR data; reproducible data science workflows

🏖️ Benefits

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