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Genetic Epidemiology, Statistical Genetics, Biostatistics, Bioinformatics, or Related Field with an Interest in CancerPosted by: National Institutes of Health (NIH)
Posted date: 2019-Jul-01
We are currently inviting applications for a Postdoctoral Research Fellowship in genetic epidemiology, statistical genetics, biostatistics, bioinformatics, or related field with an interest in cancer. The Division of Cancer Epidemiology and Genetics at the National Cancer Institute is a leading institute in cancer research. Our group seeks to discover and understand the genetics and biology that underlies susceptibility to cancer and related traits, such as obesity, and to explore interactions between genetic susceptibility and environmental exposures. The primary focus of our research group is to investigate and understand the genetic etiology of lymphoid malignancies and prostate cancer. We have ongoing genome-wide association studies (GWAS) and next generation sequencing projects in prostate cancer and different types of lymphoid malignancies, including both rare and common subtypes of non-Hodgkin lymphoma. There are opportunities to work on ongoing GWAS and sequencing projects as well develop new projects in areas such as sequencing, transcriptomics, and statistical methods for genetic association studies. A wealth of data from population-based studies, as well as family-based studies, is available for analysis.
Opportunities exist to conduct research on the genetic and biological underpinnings of cancer, as well as important molecular biomarkers. In addition to the discovery of new loci, there are opportunities to delve into the genetic architecture of different cancers, explore gene-environment interactions, investigate risk stratification using polygenic risk scores, or develop new methods.
For more information about this position, please contact Sonja Berdt, Pharm.D., Ph.D., Senior Investigator; Email: berndtsmail.nih.gov.Qualifications:
Prospective candidates should have a PhD or equivalent doctorate and strong background in genetic epidemiology, statistical genetics, biostatistics, bioinformatics, computational biology or related discipline. Applicants should have a working knowledge of statistical methods for genetic association studies, have good written and oral communication skills, and possess strong computational skills. Experience in at least one programing language (e.g. R, Python, Perl) and Linux working environment is desirable. Candidates with an interest in exploring the genetic architecture of complex diseases through genome-wide association studies and next generation sequencing, analyzing large datasets, conducting bioinformatic analyses, or with an interest in developing new methods for genetic data are encouraged to apply.To Apply:
See the Division Fellowship Information for an overview, qualifications, and application details. Go to http://dceg.cancer.gov/ and click on Fellowships & Training. This position is subject to a background investigation.
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