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A computational biologist position is immediately available at the National Human Genome Research Institute (NHGRI), National Institutes of Health (NIH).
The Genomic Functional Analysis Group is interested in integrating multidimensional data to decipher disrupted gene regulatory mechanisms and identify causal variants of disease. In particular, the group is assessing RNA-seq data from deep sequencing using paired end reads, to detect RNA-splicing alterations and impact of epigenetic modifications.
Successful candidates will undertake exciting projects in the general areas of Computational Biology, Functional Genomics, Epigenomics, and/or Systems Biology as they relate to the sequence and expression patterns found in a collection of tumor samples. The lab specializes in developing new technologies in experimental and computational data analysis, providing a well-rounded and extremely competitive training environment.
Attendance at international meetings, career development and professional networking are emphasized. The NIH Intramural program provides an exceptional scientific atmosphere with potential for accelerated advancement and superior scientific interactions.
QUALIFICATIONS: Candidates should have obtained a PhD degree in Computational Biology, Bioinformatics, Computer Science, Biophysics or a related discipline. US citizenship is strongly recommended. Programming skills and experience in the application of computational methods to high-throughput genomic data are highly desirable. Excellent communications skills and the ability to work on a variety of projects are essential. Applicants must be able to demonstrate proficiency in manuscript writing and public speaking.
LOCATION: NIH main campus in Bethesda, Maryland or Twinbrook campus in Rockville, MD.
SALARY/BENEFITS: Successful candidates will be offered competitive stipend/salary commensurate with number of years of postdoctoral experience and accomplishments.
The Genomic Functional Analysis Group is interested in integrating multidimensional data to decipher disrupted gene regulatory mechanisms and identify causal variants of disease. In particular, the group is assessing RNA-seq data from deep sequencing using paired end reads, to detect RNA-splicing alterations and impact of epigenetic modifications.
Successful candidates will undertake exciting projects in the general areas of Computational Biology, Functional Genomics, Epigenomics, and/or Systems Biology as they relate to the sequence and expression patterns found in a collection of tumor samples. The lab specializes in developing new technologies in experimental and computational data analysis, providing a well-rounded and extremely competitive training environment.
Attendance at international meetings, career development and professional networking are emphasized. The NIH Intramural program provides an exceptional scientific atmosphere with potential for accelerated advancement and superior scientific interactions.
QUALIFICATIONS: Candidates should have obtained a PhD degree in Computational Biology, Bioinformatics, Computer Science, Biophysics or a related discipline. US citizenship is strongly recommended. Programming skills and experience in the application of computational methods to high-throughput genomic data are highly desirable. Excellent communications skills and the ability to work on a variety of projects are essential. Applicants must be able to demonstrate proficiency in manuscript writing and public speaking.
LOCATION: NIH main campus in Bethesda, Maryland or Twinbrook campus in Rockville, MD.
SALARY/BENEFITS: Successful candidates will be offered competitive stipend/salary commensurate with number of years of postdoctoral experience and accomplishments.
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