Research - Laboratory/Non-Laboratory, Staff/Administrative
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The Division of Allergy and Infectious Diseases has an outstanding opportunity for a full-time Bioinformatician.
The candidate will lead analysis of high-throughput and high-dimensional datasets generated in the context of our immunology laboratories. The labs are located at the UW Medicine campus in South Lake Union’s “biotechnology hub” and focus on understanding the human immune response to several respiratory pathogens including Mycobacterium tuberculosis, the causative agent of tuberculosis, and several respiratory virus infections. Tuberculosis is now the leading infectious cause of death worldwide, killing nearly 2 million people annually. Our group studies the role of immune cells called macrophages that could be important for developing new therapies for tuberculosis. Our group also studies the effects of respiratory viral infections in the etiology of asthma, the most common chronic lung disease worldwide, in order to develop novel prevention and treatment strategies. Our group has active collaborations within the Computational Biology Program at Fred Hutchinson Cancer Research Center, the Systems Immunology Division at Benaroya Research Institute, and the Department of Biostatistics at UW, and we hope to strengthen these interactions with this hire. A strong work ethic, attention to detail, and good written and oral communication skills are essential. The candidate will have the opportunity to make major contributions to projects, likely leading to co-author credits on manuscripts.
This position has a high degree of autonomy and requires personal initiative, discretion and flexibility to perform complex analytic processes related to data analysis. This employee must possess knowledge and understanding of the complexities of assessment, evaluation and data and high degree of knowledge of statistical analysis software and scripting languages (e.g. R or Python).
•Analyze and process RNAseq data. •Analyze high-dimensional flow cytometry data using existing R packages (e.g. OpenCyto) •Analyze high-throughput sequencing data using existing R packages •Work directly with bench scientists and researchers to explain and modify databases and routine analytic processes to best serve the needs of evolving projects. •Independently create and document efficient, effective and replicable methods for extracting data, writing and applying code as relevant, organizing data sources, managing data quality, and explaining complex analytic processes. •Use statistical tools, in particular R, and literate programming techniques, such as notebooks using Rmarkdown to interleave analysis and results for presentation
Data management and analytic processes
•Perform quality assurance and routine diagnostics on data and databases. •Develop, document, and maintain code in task-appropriate language(s) to perform data cleaning, merging, aggregation, manipulation and formatting of datasets.
Publications, presentations, and data requests
•Create text, tables, figures, and charts for presentations and publications. •Provide referencing and other support for publications and presentations. •Execute queries on databases to respond to the needs of senior researchers and external requests from collaborators, etc.
•Bachelor's Degree in Mathematics, Statistics, Engineering, Computer Science, Bioinformatics or related field and two years’ experience.
Additional Requirements: •Fluency developing software in the R Programming Environment with attention to version control, package development, documentation and code review. •Interest in global health research. •Demonstrated facility with analytic tasks and ability to participate productively in interdisciplinary research teams. •Strong sense of focus and attention to detail. •Familiarity with principles of reproducible computational research •Demonstrated organizational skills, self-motivation, flexibility, and strong communication skills.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
•Master's degree or higher in mathematics, statistics, engineering, computer science, bioinformatics or related field. •Wet-bench experience or basic understanding of molecular biological concepts. •Experience with Python, Stata, SQL, or other coding language •Experience writing novel code to handle complex analytic tasks.
Evening and weekend work may be required.
Application Process: The application process for UW positions may include completion of a variety of online assessments to obtain additional information that will be used in the evaluation process. These assessments may include Workforce Authorization, Cover Letter and/or others. Any assessments that you need to complete will appear on your screen as soon as you select “Apply to this position”. Once you begin an assessment, it must be completed at that time; if you do not complete the assessment you will be prompted to do so the next time you access your “My Jobs” page. If you select to take it later, it will appear on your "My Jobs" page to take when you are ready. Please note that your application will not be reviewed, and you will not be considered for this position until all required assessments have been completed.
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