Job
Studies of Lung Cancer, Melanoma, and Kidney Cancer Using Genomic Data Postdoctoral Fellowship
Organization
National Cancer Institute, Bethesda, MD and surrounding area
Scientific focus area
Epidemiology, Genetics and Genomics
Work with Dr. Maria Teresa Landi in the Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics. We use genome-wide association studies (GWAS), next-generation sequencing analysis, and genome-wide methylation analysis to study risk and progression of lung cancer, melanoma, and kidney cancer.
About the position
Specific goals of our research include: Identifying molecular signatures associated with environmental exposures and clinical outcomes; Identifying intra-tumor genetic and epigenetic heterogeneity and tumor evolution; Characterizing the molecular steps that lead from precursor to malignant disease; Identifying rare genetic variants associated with risk of familial melanoma. All studies are large and population-based. We have strong collaborating biostatistics and laboratory teams, and have excellent computing resources for next-generation sequencing and genetic epidemiologic analyses. DCEG fellows have access to data from state-of-the-art studies in cancer genomics and work with highly committed and talented researchers with expertise in epidemiology, biostatistics, and genomics. Learn more about the other advantages of being a DCEG fellow, including our distinctive research environment, mentorship, professional development, compensation and benefits, and commitment to diversity and inclusion.
Apply for this vacancy
What you'll need to apply
Please send a cover letter, curriculum vitae (CV) including bibliography, and the names and contact information of three references via email to Dr. Maria Teresa Landi, M.D., Ph.D.
Additionally, submit your CV to the Future Fellows Database so it can be reviewed by investigators across the Division searching for trainees. Review of applications will continue until the position is filled.
Contact name
Maria Teresa Landi, M.D., Ph.D.
Contact email
Qualifications
Applicants with a doctoral degree or background in genetics/genomics, genetic epidemiology, or related field, are encouraged to apply. Experience in analyses of large complex genomic datasets, next-generation sequencing, GWAS, and/or bioinformatics methods is a plus. A successful candidate will have excellent communication skills, be highly motivated and able to work in a large multidisciplinary team. Salary and benefits are highly competitive and commensurate with experience.
Disclaimer/Fine Print
U.S. citizens and permanent residents are eligible to apply. NIH welcomes foreign nationals with the exception of individuals from this list.
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