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INSTITUTE FOR SYSTEMS Bioinformatics Scientist in Seattle, Washington

Bioinformatics Scientist.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp; Department:Shmulevich.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp; Location:Seattle, WA.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp;.and.nbsp; The Shmulevich lab is seeking a Bioinformatics Scientist to contribute to various ongoing NCI-funded projects on cancer genomics. Specifically, the successful applicant will work with an interdisciplinary team of computational biologists, bioinformatics scientists, and clinical researchers to:Integrate and analyze genomic data from The Cancer Genome Atlas (TCGA) and the Genomic Data Analysis Network (GDAN) with a focus on miRNA expression and regulation, and/orLeverage heterogeneous cancer genomics data for drug sensitivity prediction and development of human cancer therapeutics as part of the Cancer Target Discovery and Development (CTD2) consortium.The work involves participation in and contribution to these larger projects through multi-site collaborations.This position will provide an excellent opportunity to work as part of a highly motivated interdisciplinary team in the rapidly developing areas of cancer genomics and precision cancer care. The Institute for Systems Biology (ISB) is a leading research institution in the fields of computational and systems biology with applications ranging from human health to environmental sustainability.Successful candidates will have a master's degree in computational biology or a related field. Preference will be given to candidates who have at least 2 years' experience in computational biology, including the application and implementation of algorithms applied to the analysis of biological data.Strong analytical, programming and communication skills are essential. Experience with common bioinformatics methods, tools, websites and data resources is important, in particular, high-throughput data analysis tools and techniques, statistical analysis, genome sequence analysis, and experience retrieving, manipulating and managing data from public data repositories such as TCGA (hosted at the Genomic Data Commons (GDC)), ENCODE, NCBI and Ensembl. The ability to work with a variety of different biological data types is highly desired, as is experience working with cancer genomics data.Typical job responsibilities will include:Data processing, filtering, transformation and visualizationIntegrative multi-platform systems analysis and identification of key molecular featuresCollaborating with team members and collaborators on the analysis of WES and RNAseq data Using both public datasets and in-house datasets to build models using machine learning methodsParticipating in the dissemination of research findingsSupporting the PI and other scientists in the lab to perform data analysisCollaborating with scientists in the team to develop computational toolsRequired education, skills, and experience:Master's in Bioinformatics, Data Science, Computer Science, or related discipline Hands-on development experience; coding samples highly desired Proficiency in Python / Jupyter or R / R Markdown / RStudio Experience with version control systems (e.g. Git/GitHub) Strong analytical, programming, and communication skills Motivation to explore data and code with careful attention to detail Desirable skills and experience:Relational or NoSQL databases (e.g. MySQL, Postgres, BigQuery, MongoDB) Cloud computing infrastructures (Google Cloud Platform preferred) Knowledge of analysis workflows and tools such as Common W