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Discovering the causes of cancer and the means of prevention

Staff Scientist - Occupational and Environmental Epidemiology Branch

The Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), is recruiting a staff scientist in the Occupational and Environmental Epidemiology Branch (OEEB).

OEEB combines genetic, molecular and epidemiologic data to understand cancer etiology, chemical carcinogenesis, and mechanisms of action of known or suspected occupational and environmental carcinogens. Branch investigators are leading state-of-the-art, high-throughput studies that evaluate germline genomics, metabolomics, transcriptomics, epigenetics, microbiomics and other high-dimensional biomarkers of normal blood and other biological samples.

The successful candidate will provide bioinformatic support for multiple projects as a staff scientist to OEEB investigators, including the following activities: accessing, extracting and preparing data for analysis, developing and maintaining bioinformatics pipelines, conducting analysis of molecular epidemiology data within and across 'omic platforms including use of integrative analytic methods, organizing results into clear presentations and concise summaries of work, and maintaining experience with state-of-the-art bioinformatics tools and data repositories.

The successful candidate must hold a doctoral degree in bioinformatics, biostatistics, computer science, computational biology or other related disciplines. The ability to communicate effectively in speech and in writing is important, as demonstrated by a track record of publications in peer-reviewed literature as part of a research team. The successful applicant will possess many (although not necessarily all) of the following skills:  the ability to program efficiently in at least one programming language (e.g., Python, Perl, C/C++, and/or JAVA); experience with processing and analyzing large datasets for at least one of the following: genome-wide association studies (GWAS), transcriptomics, methylomics, metabolomics, microbiomics, next-generation sequencing; experience with publicly available software in the genetics field for applicants who specialize in genetic analyses (e.g., GCTA, Bolt-LMM, Rvtests, Predixcan, LDSC, RareMetal UCSC Genome Browser etc.); proficiency in R/Bioconductor; experience with public bioinformatics databases (e.g., dbGAP, TCGA, ENCODE, 1000 Genomes, TARGET, GTEX, HMP); experience with bash scripting and working in a Linux environment (especially a computer cluster environment); experience with core statistical methods (e.g. linear regression, logistic regression, etc.); and a demonstrated ability to self-educate in current and evolving bioinformatics techniques and resources.

Applications will be accepted through September 30, 2019. Selection for this position will be based solely on merit, with no discrimination for non-merit reasons such as race, color, religion, gender, sexual orientation, national origin, political affiliation, marital status, disability, age, or membership or non-membership in an employee organization. NIH encourages the application and nomination of qualified women, minorities and individuals with disabilities. NIH provides reasonable accommodations to applicants with disabilities. If you require reasonable accommodation during any part of the application and hiring process, please notify us. The decision on granting reasonable accommodation will be made on a case-by-case basis. This position is subject to a background investigation. Salary is commensurate with research experience.

Interested individuals should send a cover letter, curriculum vitae, brief summary of research interests and experience, and two letters of reference to:

Ms. Cynthia Drice
Division of Cancer Epidemiology and Genetics, National Cancer Institute
9609 Medical Center Drive, Rm. 7E336 MSC 9775
Rockville, MD 20850

The closing date for applications is September 30, 2019

DHHS, NIH, and NCI are Equal Opportunity Employers