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Postdoctoral Fellow

National Heart, Lung, and Blood Institute, Bethesda, MD and surrounding area

About the position

The Division of Intramural Research (DIR) at the National Heart, Lung, and Blood Institute (NHLBI) is seeking to recruit an outstanding postdoctoral fellow to join the Epidemiology and Community Health Branch (ECHB), a newly formed branch whose mission is to use innovative multimodality ascertainment and analytical approaches with a unifying focus on the phenotypic expressions of heart, lung, blood and sleep (HLBS) diseases, their occurrence and outcomes in populations.

The candidate will train for a career in epidemiologic research under the mentorship of Dr. Jason Wong in the Laboratory of Genomic Instability and Cardiopulmonary Outcomes (LoGICO). This new research group: 1) conducts multidisciplinary epidemiologic studies aimed at explaining the biological mechanisms by which exposures influence cardiopulmonary disease risk and progression in humans, with focus on genomic instability; 2) investigates whether the impact of exposures on cardiopulmonary outcomes differ across racial/ethnic groups and by geographic location; and 3) assesses how atmospheric conditions characteristic of climate change affect cardiopulmonary outcomes in humans. Homepage: (

The primary role of the candidate will be to learn from and support the research of the principal investigator. Additionally, the successful candidate will be encouraged to independently come up with research ideas that align with the missions of the ECHB and LoGICO; compose scientific manuscripts and conference presentations; and most importantly, grow into a productive member of the scientific community.

Apply for this vacancy

What you'll need to apply

Applications will be accepted until the position is filled. 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. Applicants may be US citizens, resident non-citizens or nonresident non-citizens eligible for a valid employment visa. Potential visa sponsorship is handled by the NIH Division of International Services (

Interested individuals should send a: 1) one-to-two-page cover letter highlighting key qualifications, research interests, and experience, 2) current curriculum vitae with complete bibliography, 3) names and contact information for 2-4 professional/academic references. These references will only be contacted if the candidate is selected as a finalist.

Please direct questions about this posting to Dr. Jason Wong (, ECHB/NHLBI.

Contact name

Krista Rudd

Contact email


The successful candidate should:

  1. Have a Ph.D, Sc.D, MD/MPH, or equivalent degree, with a strong background or demonstrated potential in epidemiology (sub-specialties include molecular/genetic, genomic, environmental/occupational, or clinical epidemiology). Candidates who are close to completing their graduate degree (“ABD”) are highly encouraged to apply.
  2. Have excellent written/oral communication ability and time/space management skills.
  3. Be flexible and able to thrive in different settings including: 1) mentor-apprentice relationship, 2) small research group, 3) larger division of intramural research, and 4) the greater scientific community including interactions with international collaborators.
  4. Have education or expertise in applied biostatistics (e.g., conducting epidemiologic analyses on large datasets with individual-level biomarker, exposure, medical, or lifestyle data).
  5. Experience using a statistical package such as SAS or R.
  6. Exhibit creative and disciplined scientific thinking, with the ability to identify and address important gaps in knowledge.

Desirable traits include:

Experience with bioinformatics (e.g., integrating data from multi-omic platforms or high-dimensional environmental exposure data, data cleaning and primary data analysis).

Additional Information

The NIH is dedicated to building a community in its training and employment programs and encourages the application and nomination of qualified women, minorities, and individuals with disabilities.