The department of Computational Biology ( www.stjude.org/research/departments-divisions/computational-biology.html ) is seeking a highly motivated Sr. Bioinformatics Research Scientist to serve as the scientific lead for St. Jude Cloud ( stjude.cloud/ ), a cloud-based ecosystem for data sharing, cloud-computing and dynamic visualization of the world’s largest pediatric cancer genomic data set. The candidate will be a part of an interdisciplinary team consisting of scientists and engineers from St. Jude and our external partners at DNAnexus and Microsoft. Specific responsibilities include providing scientific guidance for the engineering team, organizing pilot studies to evaluate collaborative research initiatives, developing prototypes of workflow and designing new concepts for data visualization, performing curation on data releases, and participating in presentation and training of St. Jude Cloud platform to the biomedical community.
Candidates with a strong background in bioinformatics, computational biology, and cancer genomics are highly encouraged to apply for this position. Successful candidates shall have well-established track record in cancer genomic research, in-depth experience in data analysis, excellent critical thinking and communication skills, as the St. Jude Cloud project is an institutional strategic initiative and this position will frequently interact with senior scientists from departments across the institution, as well as external partners and collaborators.
Recognized as a world leader in mapping the genetic landscape of pediatric cancers, the St. Jude department of Computational Biology has developed state-of-art computational infrastructure, well-established pipelines, and deep genomic analysis expertise with a track record of high-impact publications in top-tier biomedical journals such as Nature, NEJM, JAMA, Nature Genetics and Nature Methods. The department provides a highly interactive environment with collaborative opportunities across basic and clinical departments, access to high performance computing clusters, cloud computing environment, innovative visualization tools, highly automated analytical pipelines and mentorship from faculty scientists with deep experience in data analysis, data management and delivery of high-quality results for highly collaborative projects. This position is located in Memphis, TN, and relocation assistance is available.
Ph.D. in Molecular Biology, Biochemistry, Computer Science, Statistics, Mathematics, Bioinformatics or related field required
Three (3) years of postdoctoral and/or job experience in Computational Biology or Bioinformatics research required with analytical experience in the following areas: sequencing data, microarrays, SNPs, proteomics data or biological pathways
Experience with programming languages such as Perl, C, C++, SQL, PHP or Java required
Experience in development of algorithms, statistical methods or scientific software is preferred
Complete online application: bit.ly/2NiycsQ