Discovering how tumors beat therapy
Sequencing tumor DNA from a blood draw explained how prostate tumors evolved resistance to a key therapy.
Discovering new mechanisms of therapy resistance
Whole genome DNA sequencing identified a new mechanism of resistance to the most widely used treatment for prostate cancer
Discovering novel epigenetic subtypes of advanced disease
Methylation analysis identified a novel subtype of advanced prostate cancer.

The Quigley Lab studies tumor genomes to understand how urological cancers develop and respond to therapy. Our lab is part of the Department of Urology and the Helen Diller Family Comprehensive Cancer Center at the University of California, San Francisco. We are particularly interested in understanding:

  • how and when does resistance to targeted therapy arise?
  • how does genome evolution across distinct metastases affect the course of disease?
  • how do variants in the non-coding genome affect therapy response?

The lab has a focus on prostate cancer, PARP inhibitor therapy, and androgen-targeted therapy.

Come do your postdoc with us!

Postdoctoral positions for computational biologists are available in the lab of David Quigley. The Quigley laboratory is part of the Department of Urology at the University of California, San Francisco School of Medicine and the UCSF Helen Diller Family Comprehensive Cancer Center. We are a member of the UCSF Prostate Cancer Program, a highly collaborative scientific environment with a strong record of accomplishment of translational research excellence. Our lab studies how genomic and epigenomic alterations affect tumor biology and patient outcomes. We have a particular interest in understanding how tumors develop resistance to targeted therapy. Recent projects used large-scale genome sequencing to identify non-coding DNA structural variants associated with therapy resistance in advanced prostate cancer (Quigley Cell 2018) and a novel prostate cancer epigenomic disease subtype (Zhao Nature Genetics 2020).

We are seeking an independent and highly motivated candidate with a Ph.D. in a relevant field (e.g. Genetics, Cell Biology, Biostatistics, or Bioinformatics). Candidates should have a sound grasp of genetics and statistics. Proficiency in either R or Python and prior experience analyzing genome sequence data to extract biological insights are essential. Preference will be given to candidates who have published at least one original article as a first author and have excellent written and spoken English skills. Candidates trained primarily as experimental researchers who meet these criteria are highly encouraged to apply. Postdocs will receive intensive mentorship in structuring research manuscripts, designing effective grant applications, and developing interdisciplinary collaborations.

Appointment is by yearly contract. The position is at the Mission Bay campus in the center of San Francisco. Applications will be reviewed on an ongoing basis until the position is filled. Please email a cover letter describing past research accomplishments and future research interests and career goals, along with a curriculum vitae, and contact information for three references to Dr. David Quigley at [email protected]