Job: Computational Scientist/ Spatial Biology - Frederick National Lab for Cancer Research
The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.
Core Values: Accountability, Compassion, Collaboration, Dedication, Integrity, and Versatility; it's the FNL way.
PROGRAM DESCRIPTION The Cancer Genomics Research Laboratory (CGR) leverages state-of-the-art technologies to investigate the contribution of genetic variation, gene regulation, and protein expression to cancer susceptibility and outcomes in support of the NCI's Division of Cancer Epidemiology and Genetics (DCEG), the world's most comprehensive cancer epidemiology research group. CGR is located at the NCI-Shady Grove campus in Gaithersburg, MD and operated by Leidos Biomedical Research, Inc. as part of the Frederick National Laboratory for Cancer Research.
We care deeply about discovering the genetic and environmental determinants of cancer, and new approaches to cancer prevention, through our contributions to the molecular, genetic, and epidemiologic research of DCEG's 70+ investigators and their collaborators throughout the world. We are looking to expand our sophisticated portfolio in the fields of multi-omic single-cell technologies, spatial transcriptomics, and proteomics using established and emerging platforms.
Within CGR, our Molecular and Digital Pathology Laboratory (MDPL) has expertise with tissues and histology which provides an invaluable resource for the development of image-based machine learning algorithms for different cancer types in diverse populations. CGR has a large group of bioinformaticians with unique expertise, passion, and the opportunity to apply their skills to our rich and varied genotyping and sequencing datasets, generated in support of DCEG's multidisciplinary family- and population-based studies. Working in concert with the epidemiologists, biostatisticians, and basic research scientists in DCEG's intramural research program, CGR conducts genome-wide discovery studies and targeted regional approaches to identify the determinants of various forms of cancer.
KEY ROLES/RESPONSIBILITIES The candidate will work closely with CGR bioinformaticians, DCEG investigators, and MDPL scientists with a high degree of independence in the areas of single-cell and spatial biology.
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