Bioinformatics Scientist, Spatial Biology & Multimodal Data

Stanfordlivetickets; Palo Alto (CA); On-site; USD 108,000 - 128,000; Full time

Benefits offered by this job

Health benefits

Tuition assistance

Flexible work options

PTO days

Commuter benefits

Job summary

Stanford University invites applications for a Bioinformatician 2 (Computational Spatial Biology) to join the Department of Biomedical Data Science. The role focuses on integrating spatial omics, imaging, and clinical data to study tumor biology and translational cancer science.

Responsibilities include developing reproducible computational pipelines, performing multimodal data integration, and conducting spatial and statistical analyses to advance lab goals.

Qualifications

• MS or PhD in Computational Biology, Bioinformatics, Statistics, CS or related field with 1–2 years of research experience.
• Experience analyzing genomic, spatial omics and proteomic datasets.
• Proficiency in Python and R with Seurat, scverse and Bioconductor.
• Experience in Unix/Linux computing environments and HPC.
• Strong interest in cancer biology and translational bioinformatics.
• Excellent written and oral communication.

Responsibilities

• Prioritize and extract data from diverse sources and maintain accuracy.
• Design reports and ensure regulatory compliance for data use.
• Identify and correct data quality issues and root causes.
• Create charts and databases and perform statistical analyses for publication.
• Provide documentation for investigators and staff.
• Test prototype software and participate in release processes.
• Collaborate with PI and lab members on computational workflows.

Skills

Python

R

Statistics

Unix/Linux

GitHub

HPC

GPU workflows

Data analysis

Collaboration

Education

Bachelor's degree and 3 years experience

MS or PhD in Computational Biology or related field

Tools

Seurat

scverse

Bioconductor

Xenium

Visium

CosMx

CODEX

GitHub

Job description

Stanford University invites applications for a Bioinformatician 2 (Computational Spatial Biology) to join the Department of Biomedical Data Science. The role focuses on integrating spatial omics, imaging, and clinical data to study tumor biology and translational cancer science.

Responsibilities include developing reproducible computational pipelines, performing multimodal data integration, and conducting spatial and statistical analyses to advance lab goals.