Gene regulation of innate and adaptive lymphocytes in neuroinflammation
A postdoctoral position is available in the Shih lab at National Institutes of Health in Bethesda, MD. Our lab aims to understand the transcriptional networks in gene regulation of tissue-resident lymphocytes and cytokines in the central neural system in health and disease models. Emerging evidence indicates a role of inflammation in aging and neurodegenerative diseases, while how pro-inflammatory molecules and immune cells are involved in disease onset and pathogenesis remains largely unknown. Using unbiased genomic approaches including single cell RNA-seq, single cell ATAC-seq, ChIP-seq, Cut&Tag, Hi-C and CRISPR-screening, we seek to identify novel regulatory pathways for therapeutic targets.
This position offers exposure to multidisciplinary and cutting-edge genomic researches and opportunities to collaborate closely with experts in immunology, neurobiology and bioinformatics. The candidates will be leading/co-leading projects, designing experiments for generating high-dimensional data while working closely with collaborators and lab members. Opportunities for training in bioinformatics as well as mentoring postbacs or summer students will be available based on interest.
- Candidates must hold an Ph.D. or M.D./Ph.D. in immunology, neuroscience, genetics, molecular biology, biochemistry or a related field, within three years of degree being awarded;
- Must have first authorship on at least one peer-reviewed publication;
- Must be self-motivated and keen to develop and/or learn cutting-edge technologies basic programming;
- Experience in animal experiments are preferred;
- The ability to work as part of a cohesive group is important as we are a highly collaborative lab;
- Have excellent writing and communication skills.
Salary will be commensurate with education and experience. The position provides generous scientific resources, stipend support, and health benefits. U.S. citizens, U.S. permanent residents, and non-U.S. citizens are eligible to apply.
Interested candidates should send a cover letter, curriculum vitae, bibliography, a paragraph of research statement and contact information of three references to: Han-Yu Shih (email@example.com).
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