Home PhD Computational Biologist in Cancer Genomics at Stanford University, USA

Computational Biologist in Cancer Genomics at Stanford University, USA

Stanford Science Fellowships for Early-Career Scientists, Stanford University, United States

Computational Biologist in Cancer Genomics: The Sheltzer Lab at Stanford University School of Medicine is inviting applications for a Computational Biologist in Cancer Genomics. This cutting-edge research position focuses on analyzing genomic aberrations in cancer, identifying genetic drivers of tumorigenesis, and uncovering cancer-specific therapeutic vulnerabilities. The lab applies advanced high-throughput technologies, including CRISPR screening, RNA-Seq, and single-cell sequencing, to better understand aggressive tumors and drug sensitivity mechanisms.


Designation

Computational Biologist (Cancer Genomics)


Research Area

  • Cancer Genomics
  • Tumorigenesis and Genetic Drivers
  • Aneuploidy and Chromosome Copy Number Alterations
  • CRISPR Screening Analysis
  • RNA-Seq and Single-Cell Sequencing
  • High-Throughput Genomic Data Analysis

Location

Stanford University School of Medicine
Palo Alto, California, United States


Eligibility / Qualification

Required Qualifications:

  • Bachelor’s degree in Computer Science, Bioinformatics, Mathematics, Molecular Biology, Statistics, or a related field.
  • Strong background in genomics, including experience analyzing:
    • Whole-genome sequencing
    • RNA-Seq data
    • Single-cell sequencing data
  • Proficiency in:
    • Python and R
    • Linux and command-line tools
    • AI-accelerated coding
  • Experience with GitHub for version control.
  • Familiarity with high-performance computing (HPC) environments.
  • Experience with workflow managers such as Nextflow or Snakemake (preferred).
  • Excellent oral and written communication skills, including data visualization for presentations and publications.

Job Description

The selected candidate will work closely with researchers in the Sheltzer Lab to design and analyze high-throughput cancer genomics experiments.

Key Responsibilities Include:

  • Conducting copy number analysis on cancer specimens.
  • Identifying transcriptional alterations following drug treatments.
  • Contributing to the analysis of CRISPR screening datasets.
  • Supporting large-scale genomic data generation and interpretation (in vitro and in vivo studies).
  • Assisting in uncovering the role of aneuploidy and chromosome copy number changes in cancer progression.

The Sheltzer Lab is highly collaborative and committed to rigorous research while fostering an inclusive scientific environment.


How to Apply

Interested candidates should send the following documents via email:

  • Updated CV
  • Cover Letter

Email to: Dr. Sheltzer
📧 sheltzer@stanford.edu

For more information about the lab and research publications, visit the Sheltzer Lab website.


Last Date to Apply

Until position filled

Desired Start Date: July 1, 2026 (or earlier).

Applicants are encouraged to apply as soon as possible to be considered for the preferred start date.

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