Postdoctoral Research Scientist in Cancer Phenotypic Evolution

University of Utah

The labs of Andrea Bild and Fred Adler are part of an multi-disciplinary team at the University of Utah that unites mathematical, computational and lab biologists with data scientists and physicians to address the joint genetic and phenotypic evolution of cancers. This recently funded project is part of the Cancer Systems Biology Consortium

We are seeking a postdoctoral researcher to work in a creative and collaborative environment and develop mathematical and statistical approaches to model and analyze sequential single cell genetic sequence and transcriptome data from patients with late stage breast and ovarian cancer.

Candidates should have a PhD in a quantitative science (mathematics, computational biology, or statistics) or life science with strong focus on mathematical modeling, computation or data analysis, with expertise in analyzing high-throughput sequencing data or other large data sets.

Application Process: Please send the following to

  • 1. Cover letter, highlighting experience with quantitative methods for understanding biological data
  • 2. CV
  • 3. Names and contact information for three references
  • Deadline: April 30, 2017