Postdoc: Scalable AI-Driven Data Curation & Integration

University of Pennsylvania

Philadelphia (Philadelphia County)

In loco

USD 60.000 - 80.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

The University of Pennsylvania is seeking a Postdoctoral Researcher in AI-Driven Data Curation and Data Integration to conduct cutting-edge research in biomedical datasets.

This position requires expertise in machine learning and strong computational skills in Python and Docker. The successful candidate will work collaboratively to develop automated workflows for data enrichment across various research domains.

Join us in advancing AI-enabled data stewardship within a leading research environment.

Competenze

  • Ph.D. (preferred) or Master’s degree in Biomedical Informatics, Computer Science, Data Science, or a related field.
  • Strong programming skills in Docker, Python, Go, Java or related languages.
  • Experience with machine learning, natural language processing, or AI applied to structured and unstructured data.

Mansioni

  • Develop AI-based methods to automate and augment data curation.
  • Design workflows to harmonize and enrich public datasets across disease areas.
  • Collaborate with teams to align methods with real research workflows.

Conoscenze

Machine learning
Natural language processing
Programming in Python
Programming in Docker
Experience with large-scale biomedical datasets
Cloud-based data processing

Formazione

Ph.D. or Master’s degree in Biomedical Informatics or related field

Strumenti

Java
Go

Descrizione del lavoro

The University of Pennsylvania is seeking a Postdoctoral Researcher in AI-Driven Data Curation and Data Integration to conduct cutting-edge research in biomedical datasets.

This position requires expertise in machine learning and strong computational skills in Python and Docker. The successful candidate will work collaboratively to develop automated workflows for data enrichment across various research domains.

Join us in advancing AI-enabled data stewardship within a leading research environment.

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