Updated: 4 months ago
Location: Seattle, WASHINGTON
Deadline: Open Until Filled

As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem solving skills and dedication to build stronger minds and a healthier world.

UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty. 

Department of Medicine: Allergy and Infectious Diseases has an outstanding opportunity for a Bioinformatician – CERID.

The Division of Allergy and Infectious Diseases has an outstanding opportunity for full-time BIOINFORMATICIAN.

The candidate will work with the Altman Lab group to analyze high-throughput data sets related to asthma and other immunologic diseases. Specifically, the lab utilizes transcriptional profiling and multi-omics approaches to understand the molecular mechanisms of disease risk, progression, and response to treatment. The lab collaborates with several large NIH funded consortiums including the Inner City Asthma Consortium, the Immune Tolerance Network, and the Immuno Phenotyping Assessment in a COVID-19 Cohort.

The position includes ownership of projects, support of other researchers, and collaboration on community code. The candidate will join a growing team of bioinformaticians providing computational analysis and support at UW Medicine’s South Lake Union campus. This is a highly collaborative environment with opportunities to work with and learn from other bioinformaticians as well as contribute to additional research groups in the future. The lab is also affiliated with the Benaroya Research Institute, where additional bioinformatics collaboration is expected.

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 as well as a high degree of knowledge of statistical analysis software and scripting languages (e.g. R or Python).

This position will have direct impact to the Division and Department for developing a currently unavailable core resource combining infomatics and immunology.


Research (75%)

• Process raw sequence data including quality control, alignment, and normalization with command line tools (e.g. FastQC, STAR, samtools)
• Analyze high-dimensional RNA-seq, genetic, and/or single cell sequencing data including statistical modeling and visualization using existing R packages (e.g. limma, edgeR, lme4)
• Perform and document workflows using reproducible programming techniques (e.g. Rmarkdown, Git)
• Collaborate with other bioinformaticians on reproducible workflows, shared methods, and community code projects (e.g. GitHub)
• Contribute to experimental design with downstream analyses in mind
• Work directly with bench scientists and researchers to develop scripts to improve data organization, management, and analysis to best serve the needs of evolving projects

Publications and presentations (25%)

• Co-author peer-reviewed publications and present at scientific conferences
• Create text, tables, figures, and charts for presentations and publications
• Provide referencing and other support for publications and presentations
• Communicate computational methods and results to non-computational researchers in associated groups as well as with the department at large


Masters in bioinformatics, computational biology, or other area with relevant biology and data science experience and 1 year of experience

Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.


• Fluency in R and reproducible documentation with Rmarkdown
• Experience with version control in Git and GitHub
• Interest in global health research
• Demonstrated ability to participate productively in interdisciplinary research teams
• Self-motivation and flexibility. Strong organization and communication skills


• Experience with next-gen sequencing analyses, particularly human transcriptomics (limma, edgeR)
• Wet-bench experience or basic understanding of molecular biological concepts
• Working knowledge of cloud computing (AWS, GCP)
• Experience with Python, Strata, SQL, or other relevant languages
• Familiarity with advanced statistical methods and machine learning
• Experience writing novel code to handle complex analytic tasks


• This is expected to be a fully or partially in-person position
• Open office seating. Desks may be shared among partially remote persons
• Working at a computer for extended periods of time
• M-F regular business hours. Occasional evening or 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 Work 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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