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Job Description

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.

The Division of Allergy and Infectious Diseases in the Department of Medicine has an outstanding opportunity for a Bioinformatician / Research Consultant 4.

The Seshadri Lab is focused on studying the roIe of unconventional T cell populations in tuberculosis. The lab uses advanced techniques in human immunology and computational biology to characterize immune responses during infection and vaccination with mycobacteria. Their research focuses on the human immune response to _Mycobacterium tuberculosis,_ the bacteria responsible for tuberculosis. By better understanding what factors are responsible for protective immunity, they hope to contribute to ongoing efforts to develop an effective vaccine.

About this Opportunity

The candidate will join a growing team of bioinformaticians providing computational analysis and support at UW Medicine’s South Lake Union campus.

Reporting to the PI, the candidate will work with the Seshadri Lab group and will facilitate analysis of high-throughput and high-dimensional datasets generated in the context of an immunology laboratory. The lab focuses on understanding the human immune response to infectious pathogens, such as Mycobacterium tuberculosis, which is the leading infectious cause of death worldwide. The position includes ownership of projects, support of other researchers, and collaboration on community code. This is a highly collaborative environment with opportunities to work with and learn from other bioinformaticians and immunologists as well as contribute to additional research groups in the future. The lab has active collaborations within the Computational Biology Program at Fred Hutchinson Cancer Research Center and several external collaborators, and we hope to strengthen these interactions with this hire.

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, including R, Python, and bash scripting.

DUTIES AND RESPONSIBILITIES

Research (50%)

• Align and process raw sequence data using bash scripting

• Analyze high-throughput single-cell RNA sequencing data using existing R packages (e.g. Seurat)

• Work directly with bench scientists and researchers to explain and modify databases and routine analytic processes to best serve the needs of evolving projects.

• Develop user-friendly interfaces for common analytic tasks using Google Colab or Jupyter Notebooks

• 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.

• Contribute to experimental design with downstream analyses in mind. Communicate computational methods and results to immunologists and other non-computational researchers.

• Collaborate with other bioinformaticians on reproducible workflows, shared methods, and community code projects.

Data management and analytic processes (25%)

• 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 (25%)

• Create text, tables, figures, and charts for presentations, grants, and publications.

• Provide referencing and other support for presentations, grants, and publications.

• Perform power calculations or other statistical tasks as required for presentations, grants, and publications.

• Execute queries on datasets to respond to the needs of senior researchers and external requests from collaborators, etc.

MINIMUM REQUIREMENTS

+ Master's degree in a Bioinformatics, Computational Biology, or related field and four years of relevant experience.

_Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration._

DESIRED QUALIFICATIONS

- Fluency in R or Python and reproducible documentation with integrated development environments such as R Studio, Jupyter, Spyder, etc.

- Experience with version control in Git and GitHub

- Interest in global health research

- Demonstrated ability to participate productively in interdisciplinary research teams

- Strong sense of focus and attention to detail

- Self-motivation and flexibility. Strong organization and communication skills

- Experience with single-cell RNA sequencing workflows (e.g. Seurat)

- Wet-bench experience or basic understanding of molecular biological concepts

- Experience with Strata, SQL, or other relevant languages

- Familiarity with advanced statistical methods and machine learning

- Experience developing new software packages to handle complex analytic tasks

Working Environmental Conditions:

- This is expected to be a fully in-person position

- Working at a computer for extended periods of time

- M-F regular business hours. Occasional evening or weekend work may be required

\#UWDeptMedicineJobs

Compensation, Benefits and Position Details

Pay Range Minimum:

$88,080.00 annual

Pay Range Maximum:

$153,084.00 annual

Other Compensation:

-

Benefits:

For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/

Shift:

First Shift (United States of America)

Temporary or Regular?

This is a regular position

FTE (Full-Time Equivalent):

100.00%

Union/Bargaining Unit:

UAW Research

About the UW

Working at the University of Washington provides a unique opportunity to change lives – on our campuses, in our state and around the world.

UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.

Our Commitment

The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 (https://policy.uw.edu/directory/po/executive-orders/eo-81-prohibiting-discrimination-harassment-and-sexual-misconduct/) .

To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or [email protected] .

Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law (https://app.leg.wa.gov/RCW/default.aspx?cite=28B.112.080) .

University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.