Postdoc: AI-Driven Biomedical Data Curation & Integration

University of Pennsylvania Perelman School of Medicine; Pennsylvania; On-site; USD 60,000 - 85,000; Full time

Job summary

The Wagenaar Lab at the University of Pennsylvania, Perelman School of Medicine, invites applications for a Postdoctoral Researcher to advance AI-driven data curation using Common Data Elements. You will work across Epilepsy, Immune Health, and NIH HEAL programs to harmonize datasets and enrich metadata.

You will collaborate with the Pennsieve team to translate industry best practices into academic workflows, publish findings, and contribute open-source software.

Qualifications

• PhD or MS in Biomedical Informatics, Computer Science, Data Science, Bioinformatics, or related field.
• Experience with machine learning, natural language processing, 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.
• Experience with large-scale biomedical or clinical datasets.
• Experience with cloud-based data processing and scalable analytics environments (AWS preferred).
• Strong written and verbal communication skills and an interest in interdisciplinary collaboration.

Responsibilities

• Develop AI-based methods and deploy them 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 novel mechanisms to interrogate, visualize and interact with complex scientific datasets and increase the value of these datasets for the scientific community.
• Integrate curation methods into scalable, cloud-based scientific data platforms.
• Collaborate with the Pennsieve development team and scientific partners to align methods with real research workflows.
• Evaluate and validate curation approaches using large, heterogeneous public datasets.
• Prepare manuscripts, technical documentation, and presentations describing methods and outcomes.

Skills

Machine learning

Natural language processing

Data integration

Interdisciplinary collaboration

Education

PhD or MS in Biomedical Informatics

Tools

Docker

Python

Go

Java

Job description

The Wagenaar Lab at the University of Pennsylvania, Perelman School of Medicine, invites applications for a Postdoctoral Researcher to advance AI-driven data curation using Common Data Elements. You will work across Epilepsy, Immune Health, and NIH HEAL programs to harmonize datasets and enrich metadata.

You will collaborate with the Pennsieve team to translate industry best practices into academic workflows, publish findings, and contribute open-source software.