Scientist, Systems Immunology
Core
Develop and implement computational approaches to understand disease biology and drug responses using high-throughput molecular profiling data to identify therapeutic opportunities for autoimmune and chronic inflammatory diseases.
Role type
Senior IC computational immunology scientist
Builds
Multiomics datasets analysis pipelines and target prioritization insights
Domain
Biopharmaceuticals / Systems Immunology
Deliverable
production ML models
Required skills
scRNA-seq analysis, scATAC-seq analysis, TCR/BCR repertoire analysis, bulk RNA-seq analysis, Olink proteomics analysis, Python, R, Linux, Scanpy, AnnData, Cell Ranger, scvi-tools, DESeq2, GSEA, WGCNA, statistical analysis, batch effect correction
Preferred skills
CITE-seq analysis, spatial transcriptomics, machine learning model building, cloud computing (AWS, SLURM), immunology biology knowledge
Technologies
Python, R, Linux, Scanpy, AnnData, Cell Ranger, scvi-tools, DESeq2, GSEA, WGCNA, AWS, SLURM
Responsibilities
Analyze scRNA-seq and CITE-seq datasets including quality control, integration, clustering, and cell-state annotation; Integrate patient cohorts with reference atlases for differential expression and pathway analyses; Analyze scATAC-seq data to identify regulatory programs and infer peak-to-gene relationships; Analyze TCR/BCR repertoires and link clonotypes to single-cell profiles; Analyze bulk RNA-seq and Olink proteomics data to support target prioritization; Collaborate with scientists to prioritize hypotheses and communicate findings.
Seniority
Senior, hands-on IC
