The National Institute on Aging (NIA), Laboratory of Epidemiology and Populations Sciences located in Baltimore, MD, is seeking a talented and highly motived postdoctoral fellow to conduct population-based research in the field of sleep and aging epidemiology. The successful applicant will join the Sleep Health and Aging-Related Phenotypes (SHARP) Unit led by Dr. Tianyi Huang at the NIA Intramural Research Program (IRP). The research of the SHARP Unit focuses on elucidating the connection between sleep health and aging-related diseases, integrating traditional epidemiology approaches, multi-omics analysis, and advanced wearable technology.
The postdoctoral fellow will work directly with Dr. Huang, and the primary responsibilities include: (1) lead data analysis in several longitudinal cohort studies, such as the UK Biobank, All of Us, Multi-Ethnic Study of Atherosclerosis, Nurses’ Health Studies and Honolulu-Asia Aging Study; (2) present results at scientific meetings and prepare manuscript for publication; and (3) provide assistance and support to the daily research activities of the SHARP unit and the Laboratory. The fellow will work with a multidisciplinary team, consisting of epidemiologists, biostatisticians, translational scientists and clinicians. The successful applicant is also encouraged to develop new scientific questions that align with the research direction of the Unit and gain experience in grant writing. Opportunities for mentoring postbaccalaureate or summer students will be available. Learn more about the advantages of being an NIA IRP fellow (https://www.nia.nih.gov/train-nia-researchers-baltimore), including our distinctive research environment, mentorship, professional development, compensation and benefits, and commitment to diversity and inclusion.

Qualifications:

Qualified candidates should have a Ph.D. or equivalent doctoral degree in Epidemiology, Biostatistics, Public Health, Bioinformatics, or related areas within the past five years, with strong statistical analysis skills using R, SAS or STATA and excellent communication and documentation abilities. Candidates with an interest in sleep and aging epidemiology, as well as experience in large cohort studies, chronic disease epidemiology, omics analysis and electronic medical records, are preferred. Salary will be commensurate with the NIH stipend schedule for postdoctoral fellows.

To Apply:

Qualified applicants should send the following to Dr. Tianyi Huang (tianyi.huang@nih.gov) in a single PDF file including (1) a cover letter outlining research interests, qualifications and experience, (2) a curriculum vitae including bibliography, (3) a writing sample, preferably an unpublished essay (e.g., from a previous graduate course), and (4) contact information of three references.

Review of applications will continue until the position is filled. Applicants may be U.S. citizens, permanent residents; or foreign nationals (visa requirements apply). Candidates are subject to a background investigation.