Staff Scientist, Clinical Genetics Branch
The Clinical Genetics Branch (CGB), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), is recruiting a scientist to serve as Staff Scientist 1.
The Clinical Genetics Branch conducts interdisciplinary research to advance the understanding of the molecular pathogenesis of cancer and to translate this knowledge into effective evidence-based medical management strategies (including counseling, prophylaxis, screening, surgical risk reduction, and chemoprevention) for cancer-prone individuals and families. Current active protocols target hereditary cancer susceptibility syndromes including Li-Fraumeni syndrome, DICER1 syndrome, RASopathies, inherited bone marrow failure syndromes, and familial melanoma. CGB investigators study the risk of cancer in medical conditions not typically thought to include cancer in their classical phenotype. CGB also has a large portfolio of human papillomavirus-related translational research projects and most CGB research protocols have integrated behavioral/counseling and psychosocial research components. Study-derived biospecimens are routinely leveraged into collaborative, laboratory-based, etiologically-oriented analyses of genomics and molecular susceptibility.
The staff scientist, working under the direction of a senior investigator within CGB, will have responsibilities for the interpretation of germline genetic variation and phenotype data from population-scale exome- and genome-sequenced datasets linked to electronic medical records, with a focus on the quantification of cancer risk and phenotype in known and novel monogenic tumor-predisposition disorders. Activities will include germline variant classification, manipulating and harmonizing large data sets, communication with national and international investigators, collaboration with statistics colleagues, working with clinical colleagues on phenotype interpretation, an array of statistical analyses, study design, writing manuscripts, and preparation of reports for presentation or publication.
The successful candidate must hold a doctoral degree (Ph.D. or equivalent) in genetics, genomics or the biological sciences and must have completed post-doctoral training, preferably in genetics, genomics, or bioinformatics. Candidates must demonstrate knowledge of clinical cancer genetics, germline variant classification using relevant ACMG-AMP rules, canonical cancer pathways and have had training in genomics and/or epidemiology research. Skill and experience in coding, ideally in Python, R, Bash and Perl, is highly desirable. The successful candidate will have the opportunity to work with highly committed and talented researchers with expertise in clinical genetics and oncology/hematology, epidemiology, biostatistics, and genomics/genetics, as well as career development training opportunities.
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 experience.
Salary and benefits are commensurate with his/her qualifications and experience. Full Federal benefits including leave, health and life insurance, long-term care insurance, retirement, and savings plan (401k equivalent) will be provided.
Interested individuals should send a cover letter, curriculum vitae and bibliography, a brief summary of research interests and accomplishments, and the names and addresses of three references to:
Review of applications will begin on or about November 13, 2020, but applications will be accepted until the position is filled.
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