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University of Wisconsin-Madison
University of Wisconsin-Madison
IzglītībaValdība
University of Wisconsin-Madison ir publiska pētniecības universitāte Medisonā, Viskonsinas štatā, un Viskonsinas Universitātes sistēmas vadošā pilsētiņa. Tās akadēmiskā un pētniecības kopiena aptver humanitārās zinātnes, dabaszinātnes un lietišķās disciplīnas, un pētniecībā ik gadu tiek ieguldīts vairāk nekā 1 miljards ASV dolāru. Universitāte apvieno bakalaura un maģistra studijas ar darbu kopienas labā, universitātes pilsētiņas resursiem un sportu, vadoties pēc Viskonsinas idejas, kas uzsver sabiedrisko kalpošanu. Tās darbā svarīga ir arī daudzveidība, iekļaujoša izcilība un iesaiste plašākā kopienā.
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Vakances uzņēmumā

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.

USAmerikas Savienotās ValstisWIViskonsina
90 000 $ / gads
AttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
AzureMākonisPythonSQL

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

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

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