Join Coller Lab


Our lab applies cutting-edge systems biology, cell biology, molecular biology, biochemistry and mouse model approaches to address fundamental questions about the cell cycle and cancer.

Highly committed and qualified students and scientists are encouraged to contact the PI. 

Contact Us


Postdoctoral Fellows and Graduate Students

We are currently looking for postdoctoral fellows and graduate students interested in the following projects:

Role of histone modifications in quiescence in vitro and in vivo

   Project description: Histone modifications are altered in abundance with quiescence, but the functional role of different histone modifications for quiescence in vitro and in vivo is not yet established. Projects will explore how histone methyltransferases affect cell proliferation in cultured fibroblasts using cell and molecular biology techniques. Projects will also explore the role of histone modifying enzymes in embryo growth and mouse development.

   Requirements: Familiarity with cell culture, cell biology, and/or mouse models.

   Possibility of Funding: Yes

Role of autophagy in tumor microenvironment

   Project description: We are exploring the role of autophagy in the tumor microenvironment. Projects will explore the role of autophagy in different cell types for tumor growth and metastasis, and the impact of autophagy on signaling pathways in the tumor microenvironment.


    Requirements: Familiarity with cell culture, cell biology, and/or mouse models.


   Possibility of Funding: Yes

Undergraduate Students

We are actively looking for an undergraduate interested in bioinformatics:

Multimodal analysis of cellular quiescence and cancer heterogeneity

   Project description: Multiple projects are available to analyze large genomic and epigenomic bulk or single-cell datasets that are publicly available or generated in our laboratory. These projects will explore: 1) role of chromatin modifications and chromatin structure in proliferating cells and in cells that have exited the cell cycle; and 2) inter-tumor and intra-tumor heterogeneity. We are looking for students with strong background in R or python and shell scripting, and some familiarity with RNA-seq analysis, basic statistics, machine learning, handling big datasets, and Hoffman2 cluster. Some knowledge regarding CHIP-seq, Hi-C and single-cell analysis would be useful but not required. 


   Requirements: One year of programming coursework such as PIC 10C or CS 32.


   Possibility of Funding: No