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National Cancer Institute – Postdoctoral Fellow
Company Information: The Division of Cancer Epidemiology and Genetics (DCEG) is a research program of the National Cancer Institute (NCI), one of the National Institutes of Health (NIH). The Division is the world’s most comprehensive cancer epidemiology research group. Its renowned epidemiologists, geneticists, and biostatisticians conduct population and multidisciplinary research to discover the genetic and environmental determinants of cancer and new approaches to cancer prevention. The Division’s research informs public health policy in the United States and around the world. To learn more, read our Mission Statement (http://dceg.cancer.gov/about/dceg-mission).
Position Title: Postdoctoral Fellow
Duties and Responsibilities: The Biostatistics Branch of the Division of Cancer Epidemiology and Genetics (DCEG) at the National Cancer Institute is seeking a Postdoctoral Fellow for a two-year appointment with a possible extension to work on integrative analysis of multi-platform high-dimensional cancer genomics data with epidemiology and clinical outcomes. The position will be focused on a) the development and application of statistical methods and bioinformatics tools for integrative cancer genomic analysis; b) or the application of AI models for improving polygenic risk prediction.
Position Qualifications: The candidate will have a Ph.D. in statistics, biostatistics, bioinformatics, computer science or a related field, and should have strong knowledge of statistical theory and excellent skills in computer programming.
Salary Range:
Benefits: The candidate will be able to expand his/her analytic and scientific skills that are essential for cancer genome research and precision medicine in oncology.
See https://dceg.cancer.gov/fellowship-training/fellowship-experience
Website:
Application Information: Applicants should send a CV, a short research statement, and the names of three referees to Bin.Zhu@nih.gov . Review of applications will begin immediately and continue until the position is filled.
Contact Email:
Application Deadline:
Company NameNational Cancer Institute
Company Information
The Division of Cancer Epidemiology and Genetics (DCEG) is a research program of the National Cancer Institute (NCI), one of the National Institutes of Health (NIH). The Division is the world’s most comprehensive cancer epidemiology research group. Its renowned epidemiologists, geneticists, and biostatisticians conduct population and multidisciplinary research to discover the genetic and environmental determinants of cancer and new approaches to cancer prevention. The Division’s research informs public health policy in the United States and around the world. To learn more, read our Mission Statement (http://dceg.cancer.gov/about/dceg-mission).
Position TitlePostdoctoral Fellow
Duties and Responsibilities
The Biostatistics Branch of the Division of Cancer Epidemiology and Genetics (DCEG) at the National Cancer Institute is seeking a Postdoctoral Fellow for a two-year appointment with a possible extension to work on integrative analysis of multi-platform high-dimensional cancer genomics data with epidemiology and clinical outcomes. The position will be focused on a) the development and application of statistical methods and bioinformatics tools for integrative cancer genomic analysis; b) or the application of AI models for improving polygenic risk prediction.
Position Qualifications
The candidate will have a Ph.D. in statistics, biostatistics, bioinformatics, computer science or a related field, and should have strong knowledge of statistical theory and excellent skills in computer programming.
Benefits
The candidate will be able to expand his/her analytic and scientific skills that are essential for cancer genome research and precision medicine in oncology.
See https://dceg.cancer.gov/fellowship-training/fellowship-experience
Application Instructions
Applicants should send a CV, a short research statement, and the names of three referees to Bin.Zhu@nih.gov . Review of applications will begin immediately and continue until the position is filled.