Staff Scientist 1 (Statistician) - Translational Gerontology Branch
Department of Health and Human Services
National Institutes of Health
National Institute on Aging
Intramural Research Program
Staff Scientist 1 (Statistician)
The National Institute on Aging (NIA), a major research component of the National Institutes of Health in the Department of Health and Human Services (DHHS), is recruiting for a Staff Scientist in the Longitudinal Studies Section (LSS), Translational Gerontology Branch (TGB), Intramural Research Program (IRP), located in Baltimore, MD. The TGB conducts studies aimed at understanding the changes that occur with aging in health status and physical and cognitive function, under the direction of the Section Chief. The TGB has a multifaceted research portfolio that includes several ongoing clinical and epidemiological studies in humans and a number of mechanistic studies in animal models. In addition, the TGB has a large effort aimed at supplying biological samples to other laboratories that address issues related to aging and the development of age-related diseases. This program of research involves extensive collaboration with intramural and extramural researchers and several international academic institutions as well as with researchers conducting research in animal models. This Staff Scientist will be an experienced statistician, with knowledge of the modern techniques of multivariate analysis, with a particular focus on longitudinal analyses, mixed effect models, penalized regression models, and nonlinear models. Knowledge of techniques for exploring genetic associations, mendelian randomization analyses, and genetic mediation analyses is desired. Knowledge about new methods of artificial intelligence is not required but will be positively considered in the evaluation.
The applicant must be experienced in experimental design of complex schemes of analysis and will be expected to advise scientists from multiple laboratories on issues related to study design and analytical methods. The incumbent will interact with and train junior scientists in both basic and advanced statistical methods. The successful candidate will have experience in collaborative research documented in publications and more generally will have a history of publications that reflect experience in the statistical requirements of this position.
The successful individual must have a Ph.D., or equivalent degree in Statistics or a related field. Salary is commensurate with research experience and accomplishments. A full Civil Service package of benefits (including retirement, health, life, and long-term care insurance, Thrift Savings Plan participation, etc.) is available. All employees of the Federal Government are subject to the conflict of interest statutes and regulations, including the Standards of Ethical Conduct. Additional information regarding the NIA IRP is available at the following website: www.irp.nia.nih.gov.
To apply: Please send a cover letter, curriculum vitae, bibliography, statement of research interests, and three letters of recommendation to: Angela Prazak, Office of the Scientific Director, National Institute on Aging, Vacancy #NIA-IRP-20-13, via email: email@example.com. Applications, including letters of recommendation, must reference the Vacancy #NIA-IRP-20-13. The first round of review of applications will begin on or around September 9, 2020. Applications will be accepted until the position is filled.
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