Postdoc: Computational Genomics for Neurodegenerative Variants

Roche

South San Francisco (CA)

Sur place

USD 110 000 - 120 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Relocation benefits

Résumé du poste

Genentech seeks a highly motivated Postdoctoral Fellow (Computational) to drive rare coding variant association analyses in neurodegenerative diseases using whole-exome and whole-genome data. You will map hotspots with protein structure data and build calibrated models integrating molecular evidence.

Requirements include a PhD in a quantitative field, a strong publication record, and experience with large genomic datasets.

Qualifications

  • PhD in Computational Biology, Bioinformatics, Statistical Genetics, or a related quantitative field.
  • Strong publication record.
  • Enjoy developing computational approaches to understand genetic variation in disease biology.
  • Experience with large-scale genomic data (WES/WGS).
  • Competence in R or Python for analyses.
  • Able to present complex results to diverse audiences.
  • Lead computational work in cross-functional teams.

Responsabilités

  • Lead computational analysis of large-scale whole-exome and whole-genome sequencing data.
  • Develop methods that map variant hotspots using protein structure information.
  • Collaborate with human genetics, computational biology, and neuroscience teams.
  • Publish scientific or methodological papers regularly.
  • Present results clearly to computational and non-computational audiences.

Connaissances

R or Python
Genomic data
Publication record
Communication
Cross-functional teamwork
Variant interpretation

Formation

PhD in Computational Biology

Description du poste

Genentech seeks a highly motivated Postdoctoral Fellow (Computational) to drive rare coding variant association analyses in neurodegenerative diseases using whole-exome and whole-genome data. You will map hotspots with protein structure data and build calibrated models integrating molecular evidence.

Requirements include a PhD in a quantitative field, a strong publication record, and experience with large genomic datasets.

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