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University of Wisconsin-Madison
University of Wisconsin-Madison
IzobraževanjeVlada
University of Wisconsin-Madison je javna raziskovalna univerza v Madisonu v zvezni državi Wisconsin ter vodilni kampus sistema University of Wisconsin. Njena akademska in raziskovalna skupnost zajema humanistiko, naravoslovje in uporabne discipline, pri čemer se v raziskave vsako leto vloži več kot milijarda dolarjev. Univerza povezuje dodiplomsko in podiplomsko izobraževanje z delom v skupnosti, viri kampusa in športom ter se pri tem ravna po usmeritvi Wisconsin Idea, ki poudarja služenje javnosti. Pri svojem delovanju poudarja tudi raznolikost, vključujočo odličnost in sodelovanje s širšo skupnostjo.
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Research Data Scientist, Data Quality — University of Wisconsin-Madison

Lead data-quality engineering and analysis for UW–Madison’s Wisconsin Health Data Hub. Strengthen clinical and biomedical datasets for research, analytics, and AI applications.

USZdružene države AmerikeWIWisconsin
90.000 $ / leto
Na daljavoPolni delovni časSrednja ravenSeniorZahtevani Jezik: angleščinaPodatkovni znanstvenik
AzureOblakPythonSQL

Opis

  • Build and operationalize data-quality capabilities for the Wisconsin Health Data Hub
  • Create and maintain scalable quality frameworks for clinical, biomedical, and research datasets
  • Profile data and conduct exploratory analyses to uncover anomalies, missing values, inconsistencies, and other quality concerns
  • Define statistical and computational methods, rules, thresholds, metrics, and validation standards
  • Use data science and machine learning methods for anomaly detection and ongoing quality monitoring
  • Develop automated validation and quality-control workflows, reusable components, scripts, services, and APIs
  • Embed quality checks and monitoring within cloud data pipelines and analytics environments
  • Partner with engineers, data scientists, informaticians, architects, security specialists, researchers, and other stakeholders
  • Advance data standardization, normalization, harmonization, interoperability, provenance, metadata, and documentation
  • Assess dataset readiness and constraints for analysis, modeling, artificial intelligence, and research use
  • Create data-quality governance policies, standards, definitions, procedures, and accountability models
  • Present findings and recommendations clearly to both technical and non-technical audiences
  • Produce reproducible workflows, reports, dashboards, and data-quality tools
  • Support technology transfer and durable adoption across academic, healthcare, and industry research settings

Zahteve

  • At least 3–5 years of professional experience in data science, research data management, data quality, data analytics, or a related technical discipline
  • Advanced programming experience with Python, R, and SQL
  • Hands-on experience creating and applying data-quality processes such as profiling, validation, cleansing, standardization, anomaly detection, and monitoring
  • Experience handling large datasets and processing pipelines spanning multiple structured and/or unstructured sources
  • Ability to automate data-quality rules, metrics, validation frameworks, and monitoring workflows
  • Strong analytical judgment and problem-solving ability
  • Ability to explain complex data-quality findings to technical and non-technical stakeholders
  • Current residence in Wisconsin or willingness to relocate within a reasonable timeframe
  • Ongoing authorization to work in the United States without employer sponsorship; university sponsorship, TN visas, and J-1 waivers are unavailable
  • Application must include a cover letter and resume
  • PhD or another terminal degree in Data Science, Computer Science, Statistics, Biostatistics, Biomedical Informatics, Information Systems, or a related technical field is preferred
  • Preferred background includes clinical, healthcare, or research data; healthcare data models and standards; cloud platforms; Azure Synapse, Microsoft Fabric, or ADF; EHR data; and reproducible data-science workflows

Ugodnosti

  • Substantial vacation, holiday, and sick leave allowances
  • Competitive insurance coverage and savings-account options
  • Retirement benefits

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