Computational Biologist

The Sheltzer Lab at Stanford University is seeking a computational biologist for a cutting-edge project analyzing the genomic aberrations found in cancer. 

Our laboratory is broadly interested in identifying the genetic changes that occur during tumorigenesis and influence drug sensitivity, metastasis, and patient outcomes. We apply a number of high-throughput approaches, including CRISPR screening, RNA-Seq, single-cell sequencing, and copy number profiling, to generate comprehensive data on cancer physiology in vitro and in vivo. Through this work, we seek to improve our understanding of the genetic drivers of aggressive tumors and identify cancer-specific therapeutic vulnerabilities. We are particularly interested in uncovering the role of aneuploidy, or chromosome copy number changes, in cancer-related processes. We are looking to hire a computational biologist who will work closely with other scientists in the Sheltzer Lab to aid in the design and analysis of high-throughput experimental results. Initial responsibilities will include conducting copy number analysis on cancer specimens, identifying patterns of transcriptional alterations following drug treatments, and contributing to the analysis of CRISPR screening data. More information on research in the Sheltzer Lab can be found in our recent publications:

Girish, V., et al. (2023). Oncogene-like addiction to aneuploidy in human cancers. Science. doi:10.1126/science.adg4521.

Brown, L.M., et al. (2024). An elevated rate of whole-genome duplications in cancers from Black patients. Nature Communications. doi:10.1038/s41467-024-52554-5.

Position Requirements

• A bachelor’s degree in computer science, bioinformatics, mathematics, molecular biology, statistics, or a related field.
• Proficiency in Python, R, Linux, command line tools, and AI-accelerated coding.
• Proficiency with GitHub for version control; familiarity with high performance computing environments; experience with workflow managers (Nextflow or Snakemake) preferred. 
• A strong background in genomics, including experience analyzing whole-genome sequencing, RNA-Seq, and single-cell sequencing data.
• Excellent oral and written communication skills, including the ability to effectively generate data visualizations suitable for presentation and publication.

The Sheltzer Lab is a highly collaborative environment that values rigorous research and welcomes scientists from all backgrounds. The Sheltzer Lab is affiliated with the Stanford University School of Medicine, located in Palo Alto, California. Stanford has long been recognized as an outstanding environment for nurturing young scientists, and Stanford employees receive a competitive salary and benefits package. 

The desired start date for this position is July 1st, 2026, or sooner. More information on research in the Sheltzer Lab can be found on our website: www.sheltzerlab.org.