AI-Driven Cancer Genomics Postdoc: Multi-Omics

Kappaalphapsi1911

Ann Arbor (MI)

Hybride

USD 65 000 - 85 000

Plein temps

14 jours+
Générateur de candidature

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Résumé du poste

The University of Michigan seeks a Postdoctoral Research Fellow at the Michigan Center for Translational Pathology to integrate cancer genomics with AI approaches for clinically interpretable models. The role combines multi-omics discovery in solid tumors with building a clinico-genomic database and deep learning tools to predict outcomes like relapse and therapy response.

Applicants should hold a PhD in a relevant field, have a strong publication record, and demonstrate excellent communication

Qualifications

  • PhD in Bioinformatics, Genomics or related Data Science field.
  • Strong publication record and ability to communicate results clearly.
  • Excellent collaboration and team-working skills.

Responsabilités

  • Process and preprocess multi-omics data (genomics, proteomics, epigenomics).
  • Develop analyses and data portals leveraging sequencing data.
  • Train and validate deep learning models on multi-omics and imaging data.
  • Collaborate with pathology teams to integrate computational and clinical data.
  • Prepare manuscripts for publication in high-impact journals.

Formation

PhD in Bioinformatics or related field

Description du poste

The University of Michigan seeks a Postdoctoral Research Fellow at the Michigan Center for Translational Pathology to integrate cancer genomics with AI approaches for clinically interpretable models. The role combines multi-omics discovery in solid tumors with building a clinico-genomic database and deep learning tools to predict outcomes like relapse and therapy response.

Applicants should hold a PhD in a relevant field, have a strong publication record, and demonstrate excellent communication

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