Post-Doctoral Fellowship, Computational and Statistical Cancer Genomics
Laboratory of Pathology of National Cancer Institute is looking for postdoctoral researcher to work on cancer genomics and epigenomics project. We study variety of cancer types with focus on primary human brain gliomas (for our published work, please see https://www.ncbi.nlm.nih.gov/pubmed/?term=aldape+k). The overarching goal of the lab is to use computational skills to interpret biological patterns from large scale multi-omic data with ultimate goal to diagnose and subclassify human cancer accordingly to biological data.
The successful applicant will be involved in development of new statistical and genetic methods, theory and computational tools and machine learning strategies for analysis and integration of genomic and epigenomic data with pathologic evaluation of human cancer. Access to extensive core facilities including cores in bioinformatics, microarrays, cytogenomics, sequencing and pathological image depositories provides exciting opportunities for development of machine learning and deep learning computational approaches. Career development opportunities are extensive and aimed to provide the opportunity to interact with leading experts in a range of disciplines and biomedical science, and to develop candidates into well rounded, independent investigators ready for future advancement.
The NIH has a rich research environment with countless opportunities for collaboration and cutting-edge technology resources for biomedical research. Laboratory of Pathology (LP) actively interacts with the Cancer Data Science Laboratory (CDSL) in the intramural program, led by Eytan Ruppin (https://www.ncbi.nlm.nih.gov/pubmed/?term=ruppin+e). His group in the CSDL 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. Access to the resources unique to the LP as well as to the CDSL, will provide state-of-the-art career development opportunities for computational biologists. Both experts in cancer molecular classification (Dr. Kenneth Aldape, Chief of LP) and cancer multi-omics data integration (Dr. Eytan Ruppin, Chief of the CDSL) are committed to co-mentor and advance independent investigators of the future.
The Laboratory of Pathology within the intramural program of the NCI, NIH, is located in Bethesda, Maryland, USA. Its mission is to achieve the highest level of quality in clinical diagnostics, cancer research and education. Training programs are made available through the NCI Training Office and the NIH Office of Intramural Training and Education. The NIH is dedicated to building a diverse community in its training and employment programs.
The successful candidate will have a strong quantitative research background with a PhD in areas such as Statistical Genetics, Statistical Methods, Machine Learning, Deep Learning or Computer Science; practical experience working with large real-world genetic data sets, developing new methods, statistical computing, and producing high-quality published work. We expect the candidate to be motivated, creative, communicative and happy to work in a collaborative and inter-disciplinary environment.
Suitably qualified candidates should submit their curriculum vitae, cover letter, and the names and contact information (email and phone #) for three referees to:
Dr. Zied Abdullaev
Laboratory of Pathology
Center for Cancer Research
National Cancer Institute
Bethesda, MD 20892