Bioinformatics Research Scientist
7 days left
- Full Time
The Bioinformatics Research Scientist will work on integrative analysis of whole-genome, whole exome and transcriptome sequencing data (both bulk and single cell samples) with epigenetic data including WGBS, ChIP-seq and ATAC-seq to understand the role of genetic alterations, epigenetic regulation and microenvironment in childhood cancers. The specific areas of application may include development of novel computational methods to facilitate clinical decision making, immunotherapy and pharmacogenomics and participation in data analysis, data visualization, statistical analysis, experimental design and database development. The Bioinformatics Research Scientist will also assist in preparing and submitting manuscripts for publication, contribute ideas to automate or improve existing analysis methods and assist with establishing and documenting protocols or best practices for common research tasks. Candidates with deep understanding of cancer genomics, genetics or epigenetics, strong problem solving skills, attention to detail, critical thinking, and expertise in next-generation sequencing data analysis are highly encouraged to apply for this position. The Department of Computational Biology has a well-established track record in leading bioinformatics analysis for high-profile genomic and translational research projects such as the St. Jude/Washington University Pediatric Cancer Genome Project which has resulted in multiple, high impact publications in the journals of New England Journal of Medicine, Nature, Nature Genetics, Nature Methods, JAMA and Cancer Cell. The department provides a highly collaborative teamwork environment, access to state-of-art computation infrastructure and visualization tools, highly automated analytical pipeline, and mentorship from senior scientists with deep experience in data analysis, data management and delivery of high-quality results for highly competitive projects.Minimum Education:
Ph.D. in Molecular Biology, Biochemistry, Computer Science, Statistics, Mathematics, Bioinformatics or related field required.Minimum Experience:
Ph.D. which must include research related to bioinformatics (such as analysis of RNA-seq, WGBS, ChIP-seq, proteomics data, or biological pathways; development of algorithms, statistical methods, or scientific software).
If Ph.D. with no bioinformatics research, then two (2) years of pre-or postdoctoral experience in Computational Biology or Bioinformatics research is required.
Experience with programming languages such as Perl, C, or Java required.
Experience with Python and knowledge on statistical analysis package such as R and Matlab is highly desired.EEO:
St. Jude is an Equal Opportunity EmployerNot ready to apply? Become a St. Jude Career Insider to stay up-to-date on our opportunities.