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The Division of Oncology of the Washington University School of Medicine is searching for a research instructor to participate in bioinformatic analysis across a diversity of cancer projects (in
hematological and solid tumors) in collaboration with clinician scientists within the Division and bioinformaticians and cancer genomicists at The Genome Institute. The successful applicant will apply bioinformatic analysis and relevant computational and statistical methodology to analyze genomic (including whole genome, exome, and transcriptome) and/or proteomic data in the context of ongoing research efforts and will be expected to quickly assume a lead role in planning the analysis of new projects in conjunction with biologists, to communicate findings to biologists and computational scientists, and to publish results in scientific journals.
Washington University School of Medicine offers an outstanding, highly collaborative biomedical research environment. The Division of Oncology and The Genome Institute have a long-standing productive relationship that has accelerated innovative research in cancer genomics, with major milestones including the sequencing of the first cancer genome, the co-discovery of DNMT3A and IDH1 mutations in acute myeloid leukemia, and the delineation of the luminal breast cancer genome. Clinically-oriented studies within the Division are facilitated by access to high-quality patient samples, with related basic biology approached through in vitro and mouse models. This research leverages the bioinformatics expertise and the well-established computational pipelines of The Genome Institute to analyze data generated by more than 25 Illumina HiSeq sequencers housed on over 20 petabytes of storage. Additionally, faculty members at Washington University have access to many core facilities including tissue banking, microarray, and proteomics.
Washington University School of Medicine is located in St. Louis, Missouri, a family-friendly metropolitan area of over 3 million residents. The Siteman Cancer Center is an NCI-designated Comprehensive Cancer Center, and the School of Medicine is routinely ranked among the top ten medical research schools in the United States.
Requirements:
Graduate degree in biology, bioinformatics, computational biology, or related field with a solid background in programming and statistics. Candidates should be comfortable working on UNIX/Linux operating system, program with Perl and/or Python, and familiar with statistical analysis packages (R and Bioconductor). Applicants are also expected to be familiar with bioinformatics tools and genomics databases. Previous experience in cancer genomics would be an advantage but is not essential.
Additional Notes: Please send a letter of inquiry, curriculum vitae, description of prior experience and future plans, and three letters of reference (e-mail is preferred) to Mr. Robert Barczewski, at the Division of Oncology, Box 8007, 660 South Euclid Avenue, St. Louis, Missouri,63110, email: [email protected]
hematological and solid tumors) in collaboration with clinician scientists within the Division and bioinformaticians and cancer genomicists at The Genome Institute. The successful applicant will apply bioinformatic analysis and relevant computational and statistical methodology to analyze genomic (including whole genome, exome, and transcriptome) and/or proteomic data in the context of ongoing research efforts and will be expected to quickly assume a lead role in planning the analysis of new projects in conjunction with biologists, to communicate findings to biologists and computational scientists, and to publish results in scientific journals.
Washington University School of Medicine offers an outstanding, highly collaborative biomedical research environment. The Division of Oncology and The Genome Institute have a long-standing productive relationship that has accelerated innovative research in cancer genomics, with major milestones including the sequencing of the first cancer genome, the co-discovery of DNMT3A and IDH1 mutations in acute myeloid leukemia, and the delineation of the luminal breast cancer genome. Clinically-oriented studies within the Division are facilitated by access to high-quality patient samples, with related basic biology approached through in vitro and mouse models. This research leverages the bioinformatics expertise and the well-established computational pipelines of The Genome Institute to analyze data generated by more than 25 Illumina HiSeq sequencers housed on over 20 petabytes of storage. Additionally, faculty members at Washington University have access to many core facilities including tissue banking, microarray, and proteomics.
Washington University School of Medicine is located in St. Louis, Missouri, a family-friendly metropolitan area of over 3 million residents. The Siteman Cancer Center is an NCI-designated Comprehensive Cancer Center, and the School of Medicine is routinely ranked among the top ten medical research schools in the United States.
Requirements:
Graduate degree in biology, bioinformatics, computational biology, or related field with a solid background in programming and statistics. Candidates should be comfortable working on UNIX/Linux operating system, program with Perl and/or Python, and familiar with statistical analysis packages (R and Bioconductor). Applicants are also expected to be familiar with bioinformatics tools and genomics databases. Previous experience in cancer genomics would be an advantage but is not essential.
Additional Notes: Please send a letter of inquiry, curriculum vitae, description of prior experience and future plans, and three letters of reference (e-mail is preferred) to Mr. Robert Barczewski, at the Division of Oncology, Box 8007, 660 South Euclid Avenue, St. Louis, Missouri,63110, email: [email protected]