The Sun lab is seeking a highly-motivated postdoc with a passion to innovate and discover in cancer data science. Our lab studies the dynamics of cancer by quantifying and modeling intratumor heterogeneity (ITH) from high-throughput sequencing data. We design computational algorithms to facilitate the translation of tumor heterogeneity into its evolvability. The potential research directions are listed below:
{Methods} for quantifying and visualizing intratumor heterogeneity
from NGS data;
{Computational and Mathematical modeling} of the spatial/temporal
tumor (epi)genetic heterogeneity, in consideration of tumor
microenvironments;
{Copy number evolution} in association with clonal dynamics.
The person who holds this position will receive hands-on mentoring of analytic and programming skills in advanced cancer genomics/bioinformatics and tailored training for career development. While the successful candidate is expected to get involved in the aforementioned research topics, his/her own research interests will be encouraged and promoted under the general scope of the lab. For more information on the position, applicants may directly email Ruping Sun (ruping at umn dot edu
) with your CV.
Qualifications:
- A doctoral degree in bioinformatics, genetics, computer science, biostatistics, biomedical engineering, applied mathematics, biophysics, or other appropriate areas;
- Script language programming skills;
- Excellent written and verbal communication skills.
- Experience in cancer genetics, genomics and/or mathematical modeling (preferred).
- A record of publication and/or conference presentations.
We welcome students and interns. Join us if
Folks interested to work in the group directly email Ruping Sun (ruping at umn dot edu).