Postdoc: AI-Powered Biomedical Data Curation & Integration

Upenn

Philadelphia, Northern (Philadelphia County, KY)

Hybrid

USD 50,000 - 65,000

Full time

14 days+
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Job summary

The University of Pennsylvania, Perelman School of Medicine, seeks a Postdoctoral Researcher to advance AI-enabled data curation using Common Data Elements across biomedical datasets. The Wagenaar Lab collaborates with the Pennsieve platform to promote reproducible, scalable data stewardship and open-source resources.

The role emphasizes cross-disciplinary work across Epilepsy, Immune Health, and NIH HEAL programs, with publication and community contributions expected.

Qualifications

  • Ph.D. or Master’s in Biomedical Informatics, Computer Science, Data Science, Bioinformatics, or related field.
  • Experience with machine learning, NLP, or AI applied to structured and unstructured data.
  • Familiarity with Common Data Elements, data standards, or ontology-based data representation (preferred).
  • Strong programming skills in Docker, Python, Go, Java, or related languages.

Responsibilities

  • Develop AI-based methods and deploy at scale to automate and augment data curation using Common Data Elements.
  • Design workflows to harmonize, validate, and enrich public datasets across Epilepsy, Immune Health, and NIH HEAL programs.
  • Develop mechanisms to interrogate, visualize, and interact with complex datasets.

Skills

Machine learning
Python programming
Communication skills
Team collaboration

Education

Ph.D./M.S. in Biomedical Informatics or related
Relevant field master's accepted

Tools

Docker
Python
Go
Java

Job description

The University of Pennsylvania, Perelman School of Medicine, seeks a Postdoctoral Researcher to advance AI-enabled data curation using Common Data Elements across biomedical datasets. The Wagenaar Lab collaborates with the Pennsieve platform to promote reproducible, scalable data stewardship and open-source resources.

The role emphasizes cross-disciplinary work across Epilepsy, Immune Health, and NIH HEAL programs, with publication and community contributions expected.

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