The department of Computational Biology is seeking a highly motivated Bioinformatics Research Scientist to work on exciting gene discovery projects in conjunction with clinical and translational investigators from the Division of Cancer Predisposition, a newly formed program dedicated to the evaluation and management of children and families at increased genetic risk for cancer. As a part of this team, you will have the opportunity to apply innovative analytical and visualization approaches for studying and understanding the genetic variants and epigenetic modifications to cutting edge large-scale discovery projects using the latest sequencing technologies, including whole genome/exome sequencing, RNA-seq, CHIP-seq, ATAC-Seq and long read sequencing. You will also contribute ideas to automate and improve existing analysis methods, assist in preparing and submitting manuscripts for publication and assist with establishing and documenting protocols or best practices for common research tasks. Candidates with a strong background in population and/or statistical genetics, deep understanding of biological problems, critical thinking skills, and expertise in linkage analysis are highly encouraged to apply for this position. The study of familial cancers is a high priority area of investigation at St. Jude. Accordingly, it is expected that successful candidates will take a leading role in developing and implementing new computational pipelines, assisting with the discovery of novel cancer predisposing genes and/or genetic modifiers and coordinating multiple research projects that will further enhance our understanding of childhood cancer.
PhD in Molecular Biology, Biochemistry, Computer Science, Statistics, Mathematics, Bioinformatics or related field required. Prior experience must include research related to bioinformatics (such as analysis of DNA and RNA sequence data, microarray, SNPs, imaging data, proteomics data, or biological pathways; development of algorithms, statistical methods, or scientific software).
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If PhD training did not include bioinformatics research, will require a minimum of two (2) years of pre- or postdoctoral research experience in Computational Biology or Bioinformatics.
Experience with programming languages such as Perl, C, or Java required. Experience with Python and knowledge on statistical analysis package such as R, SAS and Matlab is highly desired.
Apply online at careers-stjude.icims.com/jobs/3043/bioinformatics-research-scientist---clinical-genome-analyst/job