Staff Scientist - Computational Biology & Multi-Omics

Washington University; United States; On-site; USD 48,000 - 87,000; Full time

Benefits offered by this job

Health insurance

Metro U‑Pass

Vacation & Holidays

Retirement plan

Wellness programs

Job summary

Washington University in St. Louis seeks a Staff Scientist in Computational Biology and Multi-Omics to build and maintain pipelines for high‑dimensional genomic and spatial data. You will collaborate with experimentalists to translate multi‑omic data into actionable biology.

The role emphasizes single‑cell RNA sequencing, spatial transcriptomics and multi‑omic integration, using 10x Genomics Xenium and related platforms. Ph.D. preferred; 3+ years in bioinformatics desirable.

Qualifications

• Master’s degree or combination of education and/or experience may substitute for minimum education.
• No specific certification/professional license required.
• Laboratory Operations requires 3 years of related experience.

Responsibilities

• Design research protocols under the principal investigator guidance.
• Develop and maintain robust computational pipelines for single-cell and multi-omic data.
• Establish workflows for 10x Genomics platforms and multi-omic analyses.
• Perform end-to-end scRNA-seq data analysis: QC, normalization, integration, clustering, annotation.
• Create reproducible workflows and well-documented analysis pipelines.
• Generate publication-quality visualizations and interpret complex datasets.

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

Job description

Washington University in St. Louis seeks a Staff Scientist in Computational Biology and Multi-Omics to build and maintain pipelines for high‑dimensional genomic and spatial data. You will collaborate with experimentalists to translate multi‑omic data into actionable biology.

The role emphasizes single‑cell RNA sequencing, spatial transcriptomics and multi‑omic integration, using 10x Genomics Xenium and related platforms. Ph.D. preferred; 3+ years in bioinformatics desirable.