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National Institute of Arthritis and Musculoskeletal and Skin Diseases, Bethesda, Maryland

The Biodata Mining and Discovery Section (BMDS), Office of Science and Technology (OST), National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) is recruiting for a computational Staff Scientist to support NIAMS Intramural Research Program (IRP).

The successful candidate should have extensive experience and proven expertise in processing and analyzing a wide variety of NGS data, such as those from RNA-seq, ChIP-seq, ATAC-seq, scRNA-seq, scATAC-seq, CITE-seq, HiC, TCR-seq, Multiome-seq, Microbiome-seq, and Spatial Transcriptomics. He/ She should have a demonstrated successful record in applying advanced data science approaches to research projects in multiple biomedical and biological fields. The candidate should be highly skilled in developing cutting edge NGS data analysis algorithms and methods as well as web-based genomic data visualization tools, as evidenced by scholarly peer-reviewed publications in high quality journals. He/ She is also expected to be highly experienced in data analysis process automation and development of innovative data analysis pipelines. Familiarity with Linux based high performance computing or cloud computing is a must. Expertise in AI/ML as applied to biodata is highly desirable.   

BMDS is the Bioinformatics Core Facility of NIAMS IRP. The candidate is expected to be able to independently support multiple NGS-data-based research projects from different research labs as needed. He/ She will be responsible for providing advice and hands-on support throughout the process of a biomedical research project, including experimental design, data processing, data organization, data wrangling, data analysis, analysis results interpretation and dissemination, data preparation and submission to GEO, manuscript drafting, and rebuttal to reviews of a submitted manuscript. The candidate is also expected to have substantial experience in providing practical and effective genomic data analysis training and mentoring to the IRP researchers.

Applicants should possess a Ph.D. in Computer Science or a related field and have at least five years of postdoctoral experience. An excellent record of peer-reviewed publications is required. The successful candidate should have strong communication skills and the ability to work collaboratively.

Interested individuals should submit to sunh1@mail.nih.gov the following:

• a cover letter;
• curriculum vitae;
• a list of published computational tools developed;
• a summary of career goals, research support experience, accomplishments, and research interests;
• copies of three relevant publications; and
• three letters of reference.

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.