Postdoctoral fellow in Pediatric Cancer Genomics

University of Minnesota
United States Minnesota Minneapolis


The Division of Epidemiology/Clinical Research is seeking a postdoctoral fellow to lead integrative analyses of multiple high-dimensional germline datasets on numerous pediatric cancers. Data includes genome-wide SNP arrays, whole exome and whole genome data on acute lymphoblastic leukemia, acute myeloid leukemia, osteosarcoma, Ewing sarcoma, germ cell tumors, and hepatoblastoma. Near term goals also include generating whole genome tumor DNA methylation data and correlative ATAC-seq assays to many of these germline datasets. The successful candidate may consider this position entree to continuing collaboration and potentially a faculty position. The Division is a dynamic group with unparalleled access to childhood cancer datasets and samples, and presents a highly supportive, collaborative environment for research into these deadly diseases. Postdoctoral fellows will have the opportunity for methods development as well as substantive research and will be backed by our robust philanthropy at the Children’s Cancer Research Fund. The University of Minnesota is a land-grant institution and the major research university in the state. It provides a strong environment supporting large data research, including the Minnesota Supercomputing Institute, statistical genetics program in Biostatistics, and the Bioinformatics and Computational Biology program. The Twin Cities of Minneapolis/St. Paul together are cultural capitals of the North, with a thriving arts scene, beautiful lakes, and an award-winning bike infrastructure.


Ph.D. in statistical/population genetics, bioinformatics, computational biology, or any scientific discipline with relevant computational experience. Preferred experience with one or more of the following skills: Genomewide association studies, analysis of next-generation sequencing data, methylation, gene expression, somatic tumor analysis, somatic-germline interaction, functional genomics, metabolomics/proteomics.

Start date

As soon as possible

Start date

To be determined

How to Apply

Contact Dr. Spector


Logan G. Spector, Ph.D.