The National Library of Medicine (NLM)’s Intramural Research Program (IRP) at the National Institutes of Health (NIH), Department of Health and Human Services (DHHS) is seeking two or three postdoctoral fellows in the area of Bioinformatics and Microbiome Data Science. These positions are located on the NIH Campus in Bethesda, Maryland. Bethesda is a bustling urban community next to Washington, D.C. The overarching aim of this laboratory is to use computational skills to interpret biological patterns from large-scale microbiome data with the ultimate goal to advance microbiome-based diagnosis and therapeutics. The successful applicants will be involved in the development of new computational tools and statistical methods for the analysis and integration of microbial genomic and metagenomic data to investigate the relationships between human health and the microbiome.
These positions will provide extensive career development opportunities at NIH, including interactions with leading experts in a wide range of disciplines in the biomedical sciences, proximity to NLM’s advanced biomedical databases and information systems, and the use of cutting-edge technology resources for biomedical research. Dr. Jiang, a newly appointed Principle Investigator, is dedicated to providing a supportive environment for high-quality mentoring to develop candidates into well-rounded, independent researchers ready for future advancement.
DHHS and NIH are Equal Opportunity Employers and encourage applications from women and minorities.
The ideal candidates may or may not be United States citizens and must have a doctoral degree and possess exceptional communication skills and a willingness to collaborate with other researchers. They will also be expected to author and co-author scientific papers.
In addition, we are looking for individuals with:
--- Position One: Ph.D. in bioinformatics, microbiology, virology, or a related discipline with training/experience in bioinformatics; familiarity with command line sequence analysis tools; very good knowledge in Biology/Biochemistry and an understanding of key and complex biological concepts; a proven track record in this area as reflected in recent or pending publications.
--- Position Two: Ph.D. in computer science, physics, statistics, mathematics, or other relevant disciplines; proficiency in machine learning and/or large-scale data analysis; a record of high-performance scientific programming with one or more of the popular programming languages, e.g., C++, Python, Go, and R; familiarity with basic biology; a willingness to learn new tools and knowledge.
Interested persons should send a cover letter, curriculum vitae (CV), a brief (half-page) statement of research and interests, and three references with contact information to Dr. Xiaofang Jiang (email@example.com). Applications will be reviewed immediately after submission