Computational Immunology Scientist: Single-Cell & Multi-Omics

AbbVie Inc.; Cambridge, Northern (MA, KY); Hybrid; USD 120,000 - 190,000; Full time

Job summary

AbbVie Immunology in Cambridge, MA is expanding its early discovery Systems Immunology team. The Computational Biology Scientist will develop and apply computational approaches across single-cell, bulk transcriptomic, proteomic, and other multi-omics datasets to identify and prioritize therapeutic targets and biomarkers.

The role involves collaboration with disease-area and experimental teams to translate complex biological data into actionable insights, and to contribute to scientific reports

Qualifications

• BS or MS in computational biology, bioinformatics, genomics, biostatistics, CS or related field.
• 2–6 years of relevant research or industry experience (MS/BS specifics).
• Experience with single-cell and bulk RNA-seq data and associated analysis workflows.

Responsibilities

• Analyze single-cell RNA-seq and CITE-seq datasets to identify cell states and disease-related targets.
• Integrate multi-omics data to prioritize targets and biomarkers for translational research.
• Collaborate with disease-area and experimental teams and contribute to publications.

Skills

Python

R

Linux

Single-cell RNA-seq analysis

Bulk RNA-seq analysis

Differential expression

Data visualization

Education

BS or MS degree in computational biology, bioinformatics, genomics, biostatistics, computer science

Tools

Scanpy

AnnData

Cell Ranger

scvi-tools

DESeq2

GSEA

WGCNA

Job description

AbbVie Immunology in Cambridge, MA is expanding its early discovery Systems Immunology team. The Computational Biology Scientist will develop and apply computational approaches across single-cell, bulk transcriptomic, proteomic, and other multi-omics datasets to identify and prioritize therapeutic targets and biomarkers.

The role involves collaboration with disease-area and experimental teams to translate complex biological data into actionable insights, and to contribute to scientific reports