Staff Scientist, Multi-Omics & Single-Cell Genomics

Washington University in St. Louis; St. Louis (MO); On-site; USD 48,000 - 87,000; Full time

Job summary

Washington University in St. Louis seeks a Staff Scientist in Computational Biology and Multi-Omics to develop and maintain pipelines for high-dimensional genomic and spatial-omics analyses.

The role centers on single-cell sequencing, multi-omics integration, and collaboration with experimental teams to translate data into biological insights. The ElTanbouly Lab emphasizes in vivo mouse models, primary cell culture, flow cytometry, and 10x Genomics technologies, with opportunities to expand to

Qualifications

• Master's degree or equivalent; several years in bioinformatics or computational biology.
• Experience designing, implementing, and maintaining robust computational pipelines for single-cell and multi-omics data.
• Strong collaboration with experimental biologists and ability to translate complex datasets into biological insights.

Responsibilities

• Design research protocols and data management procedures under the PI.
• Develop and optimize pipelines for scRNA-seq and multi-omic data analysis.
• Establish workflows for 10x Genomics datasets (scRNA-seq, Xenium, scATAC, multi-ome).
• Perform end-to-end scRNA-seq analyses including QC, normalization, integration, clustering, and annotation.
• Create reproducible workflows and well-documented analysis pipelines.

Skills

Analytical Problem Solving

Collegiality

Communication

Computer Literacy

Data Analysis

Data Interpretations

Detail-Oriented

Teamwork and Cooperation

Willingness to Learn

Education

Master’s degree

Ph.D. - Doctor of Philosophy

Tools

10x Genomics Xenium

Job description

Washington University in St. Louis seeks a Staff Scientist in Computational Biology and Multi-Omics to develop and maintain pipelines for high-dimensional genomic and spatial-omics analyses.

The role centers on single-cell sequencing, multi-omics integration, and collaboration with experimental teams to translate data into biological insights. The ElTanbouly Lab emphasizes in vivo mouse models, primary cell culture, flow cytometry, and 10x Genomics technologies, with opportunities to expand to