Skip CCR Main Navigation National Cancer Institute National Cancer Institute U.S. National Institutes of Health www.cancer.gov
CCR - For Our Staff| Home |

Position Available in the CCR Details

Department of Health and Human Services     The NCI Center for Cancer Research is part of the National Institutes of Health (NIH), U.S. Department of Health and Human Services.

  National Institutes of Health
Position Title: Postdoctoral Fellow
Contact Name: Kevin Gardner
Contact Phone: 301 496 1055
Contact Fax: 301 435 7558
Contact E-mail: gardnerk@mail.nih.gov
Branch/Laboratory/Program: Genetics Branch
Investigator's Home Page: http://ccr.cancer.gov/staff/staff.asp?profileid=5841
Number of Positions Available: 1

Research Area Key Words:

Epigenetics,ChIP-seq,RNA-seq,Bioinformatics
CV Required? Yes
Number References Required: 3
Publications List Required? Yes
Position Description: We are looking for an enthusiastic post-doctoral bioinformatics researcher to strengthen our statistics and computational work research in the study of epigenetic regulation of gene expression in cancer. The successful applicant must have a strong quantitative background and will hold a doctoral degree either in statistics, physics, computer science with proven experience in life science or a degree in biology with proven experience in statistics / computer science with an extensive background in bioinformatics, peak calling and comparative enrichment analyses. Previous experience in developing computational methods in molecular biology and implementing them in software is expected.

The candidate must have proven experience in the integrated analysis and statistical interpretation of multi-omics data (involving at least two [one?] of mRNA, ChIP, miRNA, CGH) and statistical interpretation, including integration of clinical data. The successful candidate will work on NGS data, so prior experience peak calling of ChIP-seq data as well as RNA-seq analysis and differentiation of RNA splicing changes is a plus.

Good knowledge of standard software and algorithms (including high level programming language (Java, C/C++, Python, Perl, Fortran) and experience with statistical data analysis tools such as MATLAB or R is necessary. In addition, experience with off the shelf tools, such as Bowtie, Scripture, Cufflinks, TopHat, SICER, and MISO would be of value. The candidate must be able to generate novel scripts for specific applications, including SNP calling for allele-specific effects and distance mapping for positional effects. In addition, a general knowledge of the computational biology literature in epigenomics and splicing fields will be desirable. The candidate will provide support for routine CHIP-Seq, DNAse Hypersensitivity, and Methyl-IP Analysis and provide bioinformatics support on DNA motif analysis. Additional experience in basic biostatistics and database management for translational projects involving patient samples would be an added value.

Must be sufficiently proficient in statistics to support experimental design and develop custom data analysis strategies when appropriate and necessary.

Experience with working in Unix operating systems environment though not necessary would be a plus.
Experience Required: A doctoral degree either in statistics, physics, computer science with proven experience in life science or a degree in biology with proven experience in statistics / computer science with an extensive background in bioinformatics, peak calling and comparative enrichment analyses.Good knowledge of standard software and algorithms (including high level programming language (Java, C/C++, Python, Perl, Fortran) and experience with statistical data analysis tools such as MATLAB or R is necessary. In addition, experience with off the shelf tools, such as Bowtie, Scripture, Cufflinks, TopHat, SICER, and MISO would be of value.
Additional Information: Interested individual should send a 1-2 page statement of research interests and career goals, a CV and bibliography, and 3 letters of reference.
Location: NCI-Bethesda
   
Department of Health and Human ServicesNIH is part of the Department of Health and Human Services