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Staff Scientist 1 - RNA Regulation Section - Laboratory of Genetics and Genomics


Department of Health and Human Services
National Institutes of Health
National Institute on Aging
Intramural Research Program
Staff Scientist 1


The National Institute on Aging (NIA), Intramural Research Program (IRP), a major research component of the National Institutes of Health (NIH) in the Department of Health and Human Services (DHHS), is recruiting for a Staff Scientist 1 in the RNA Regulation Section (RRS) of the Laboratory of Genetics and Genomics (LGG) in Baltimore, MD. The overall goals of the RRS are to investigate the mechanisms that regulate gene expression programs in aging physiology and pathology, particularly at the post-transcriptional level. The general working model in the RRS is that post-transcriptional gene regulation directly impacts upon the normal physiologic decline of aging as well as the aberrant gene expression programs in age-associated disease. The Section is testing this hypothesis in normal aging processes by analyzing gene expression in age-associated inflammation, impaired muscle regeneration, cellular senescence, and declining responses to proliferative and metabolic stimuli. The Section is also investigating this hypothesis in age-associated diseases such as sarcopenia, neurodegeneration, and cancer.

The Staff Scientist 1 will be responsible for RNA-sequencing (RNA-seq) projects in the RRS requiring expert computational analysis to support rapidly expanding areas of RNA analysis. It is preferred that the Staff Scientist have a strong foundation on RNA biology to help postdoctoral and postbaccalaureate fellows with the collection, analysis, and interpretation of gene expression data from multiple aging-relevant models. The Staff Scientist will analyze RNA-seq datasets obtained from a range of sources: bulk RNA, circular RNA, ribonucleoprotein immunoprecipitation (RIP) complexes, and particularly single-cell isolation in its ever-expanding modalities – e.g., cellular indexing of transcriptomes and epitopes by sequencing (CITE-Seq) and spatial transcriptomic analyses. The incumbent will also assist with RNA discovery initiatives in the RRS, namely the development of low-throughput approaches to validate sequencing results via functional genomics methods such as RNAi and CRISPR/Cas9 gene editing screens.

The successful individual must have a Ph.D. or equivalent doctoral degree in Molecular Biology, Bioinformatics, or related fields, and a proven track record. 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:

Federal agencies may request information regarding the vaccination status of selected applicants for the purposes of implementing other workplace safety protocols, such as protocols related to masking, physical distancing, testing, travel, and quarantine. Employees providing healthcare or services in support of healthcare (Healthcare Workforce) may be required to receive a COVID-19 vaccine because they are expected to perform duties that put them in contact or potential contact with patients. We may request COVID-19 vaccination, and other vaccination documentation from Healthcare Workforce personnel at any point during the onboarding process or at any time during your employment with NIH.
To apply, please send a cover letter, curriculum vitae, bibliography, statement of research interest and three letters of recommendation to: Angela Prazak, Intramural Program Specialist; Office of the Scientific Director, Vacancy # NIA-IRP-22-03-AP, via email at Applications, including letters of recommendation, must reference the Vacancy # NIA-IRP-22-03-AP. Applications will be accepted until May 13, 2022.


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