Post-doctoral position for informatics of cancer genomics and epigenomics at NCI, NIH (Bethesda, Maryland, USA)
The Genomic Pathology Section in the NCI Lab of Pathology (LP), NIH, led by Dr. Kenneth Aldape (Chief of LP), focuses on cancer genomics and epigenomics research, and tries to integrate multi-omics single-cell technologies into human cancer specimens. We focus on primary human brain gliomas, but are also interested in a variety of cancer types (for publications, please see https://www.ncbi.nlm.nih.gov/pubmed/?term=aldape+k). Our goal is to broaden as well as to deepen our understanding of cancer signatures using a variety of high-throughput single-cell genomic and epigenomic analysis methods. A substantial advantage available for our research is immediate access to human tumor samples in our pathology archives and real-time clinical work, including fresh human brain tumor specimens from the operating theater.
The NIH has a rich research environment with countless opportunities for collaboration and cutting-edge technology resources for biomedical research. The Genomic Pathology Section actively interacts with the Cancer Data Science Laboratory (CDSL) in the NCI intramural program, led by Dr. Eytan Ruppin (https://www.ncbi.nlm.nih.gov/pubmed/?term=ruppin+e). His group specializes in a variety of computational approaches, analyzing and integrating cancer multi-omics data to better understand cancer biology, classification, and new therapeutic options for patients.
There is a position available in the Genomic Pathology Section for an informatics post-doctoral fellow. Possible projects include single-cell profiling data analysis of human cancer specimens (RNA-seq, ATAC-seq and methyl-seq) as well as deconvolution of bulk profiling data. Both experts in cancer molecular classification (Dr. Kenneth Aldape) and cancer multi-omics data integration (Dr. Eytan Ruppin) are committed to co-mentor and advance independent investigators of the future. An advantage of this dual-program recruitment will be access to cancer biology expertise and to human cancer specimens for bulk and single-cell profiling (Aldape), along with access to state-of-the-art computational resources and collaboration with a world leader in this area (Ruppin).
Candidates should have a PhD in computational biology or a similar field, received within recent two years or scheduled to receive very soon. Successful candidates should have a strong background in computer programming, statistics, computational biology, as well as expertise in cancer genomics or a related field. A demonstrated record of scientific accomplishment, including first authorships in peer reviewed journals, is required, and experience in molecular/cellular biology or biochemistry is preferred.
A new postdoc is expected to be highly motivated and productive, work independently as well as collaboratively with other lab members, and have strong work ethic and intellectual commitment to the cancer research. Proficient communication in both spoken and written English is strictly required, and excellent interpersonal and organizational skills are highly desired.
To apply, please send an introductory email to firstname.lastname@example.org, with “Bioinformatics Postdoc Application – (your name)” on the subject line, your CV attached and contact information for 3 references included.
Salary will be commensurate with research experience in the NIH system.
Disclaimers: This position is at the National Cancer Institute, and is therefore subject to a background investigation. The NIH is dedicated to building a diverse community in its training and employment programs.