The Department of Computational Biology is seeking a highly motivated Bioinformatician to develop and apply computational and systems biology approaches to dissect the molecular circuits that drive tumorigenesis, tumor immune-escape and drug resistance, and identifying novel immunotherapy targets, biomarkers and combination therapies (particularly with immunotherapy) for the treatment of pediatric cancers. This analyst/scientist will analyze and integrate high-throughput omics data, at bulk and single-cell levels, including transcriptomic, genomic, epigenomic, functional genomic, chemical genomic and proteomic data to model context-specific cellular/molecular networks and to identify actionable targets, biomarkers or compounds that could be translated into clinic for the development of precision medicine in pediatric cancer. The scientist will report to Dr. Jiyang Yu and will work closely with our collaborators in the departments of Immunology and Oncology for experiment design and data generation, and with our pipeline and visualization teams to explore novel analysis approaches for single-cell RNA-Seq, NGS-based RNAi/CRISPR screening, immune-profiling and proteomics data for molecular network inference and target identification.
Candidates with a strong interest in cancer immunotherapy, cancer precision medicine and expertise in oncology, immunology, computational biology, bioinformatics are encouraged to apply. The successful candidate will also have an opportunity to participate in research projects involved in the analysis of the cancer genome, epigenome, transcriptome or proteome. Experience with omics data analysis using R or Python and familiarity with linux/unix is required. Experience and knowledge in immunology and/or immuno-oncology is highly desirable. Expertise in systems biology, network biology, parallel computing, web development, visualization and databases is also highly desirable.
The Yu Lab provides a highly interactive environment with projects involving basic and clinical research collaborators, access to high performance computing clusters, cloud computing environment, innovative visualization tools, highly automated analytical pipelines and teamwork with scientists who have deep experience in data analysis, data management and delivery of high-quality results for highly competitive projects. This position is located in Memphis, TN, and relocation assistance is available.
Bioinformatics Research Scientist
Lead Bioinformatics Analyst
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