Postdoctoral position at National Institutes of Health
Bethesda, Maryland, USA -
Full Time


Start Date

Immediate

Expiry Date

16 Oct, 25

Salary

0.0

Posted On

16 Jul, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Molecular Biology, Immunology

Industry

Information Technology/IT

Description

ABOUT THE POSITION

The Cutaneous Microbiome and Inflammation Section studies the relationship between microbes and skin disorders in patients. We are currently investigating altered microbiomes in skin diseases, integrated microbiome-host transcriptomics in immunodeficiency, and diet effects on skin microbes and metabolomics. This work will provide insights into microbial-host interactions and microbial contributions to human diseases. Working with collaborators, we utilize multidisciplinary approaches, including microbiome analyses, microbial genomics, molecular biology, microbiology, and host transcriptomics and immunology. We are seeking outstanding, highly motivated individuals to join our dynamic research team. In addition to a rich mentoring environment, fellows will have access to cutting-edge technologies and core facilities. For more information, please visit our website: www.niams.nih.gov/labs/kong-lab .
Our long-time collaborators include the Segre lab ( www.genome.gov/staff/Julie-Segre-PhD ) and the Nagao lab ( www.niams.nih.gov/labs/nagao-lab ).
What you’ll need to apply
Applicants should email a brief statement of research interests, a CV and list of 3 references.
Contact name
Dr. Heidi Kong
Contact email
kongresearchgroup@gmail.com

QUALIFICATIONS

Applicants must have:

  • a PhD or MD with less than 5 years of postdoctoral experience;
  • a strong background in immunology, molecular biology, and/or bioinformatics;
  • peer-reviewed publications;
  • strong oral and written communications skills; and
  • ability to work well both independently and collaboratively on an interdisciplinary team.
Responsibilities

Please refer the Job description for details

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