Computational Immunology Scientist - Multiomics

AbbVie Inc.

Cambridge (MA)

Presencial

USD 85.000 - 162.000

Jornada completa

Hace 6 días
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Descripción de la vacante

AbbVie Immunology is expanding its discovery Systems Immunology team in Cambridge, Massachusetts. The Computational Immunology Scientist will develop computational approaches to understand disease biology using multiomics data, including single-cell and bulk datasets, to identify therapeutic opportunities.

The role involves integrating scRNA-seq, scATAC-seq, TCR/BCR, and proteomics data, collaborating with internal and external scientists, and contributing to publications and regulatory filings.

Formación

  • BS or MS degree in computational biology or related field with 5–7+ years (BS) or 2–5+ years (MS) of relevant experience.
  • Hands-on scRNA-seq, scATAC-seq, or TCR/BCR analysis experience preferred.
  • Python and/or R proficiency; Linux-based computing experience.
  • Familiar with bioinformatics tools such as Scanpy, DESeq2, GSEA, or WGCNA.

Responsabilidades

  • Analyze scRNA-seq and CITE-seq datasets with QC, integration, clustering, and annotation.
  • Perform differential expression and pathway analyses across cohorts.
  • Analyze scATAC-seq for differential accessibility and regulatory programs.
  • Analyze TCR/BCR repertoires including clonotype assignment and sharing.
  • Integrate bulk RNA-seq and proteomics data to support targets and biomarkers.
  • Collaborate to prioritize hypotheses and contribute to presentations and publications.

Conocimientos

Python &/or R
Linux environments
Statistical analysis
Data interpretation & communication

Educación

BS/MS in computational biology or related field

Herramientas

Scanpy
AnnData
Cell Ranger
scvi-tools
DESeq2
GSEA
WGCNA

Descripción del empleo

AbbVie Immunology is expanding its discovery Systems Immunology team in Cambridge, Massachusetts. The Computational Immunology Scientist will develop computational approaches to understand disease biology using multiomics data, including single-cell and bulk datasets, to identify therapeutic opportunities.

The role involves integrating scRNA-seq, scATAC-seq, TCR/BCR, and proteomics data, collaborating with internal and external scientists, and contributing to publications and regulatory filings.

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