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Senior Research Scientist, Proteomics

Salary undisclosed

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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. All of which has allowed the UW to be nationally recognized as a "Great College to Work For" for six consecutive years.

The Department of Genome Sciences (GS) is part of the University of Washington School of Medicine and is comprised of 31 labs addressing leading edge questions in biology and medicine by developing and applying genetic, genomic and computational approaches taking advantage of genomic information now available for a host of species. GS is making major contributions in the application of genome science to understand the fundamentals of biology and to improve human health and wellbeing. Genome Sciences is a collaborative department supported by very different academic disciplines. The department has gone through significant expansion since its beginning in 2001 with annual grant awards of $63M for FY23.

The Department of Genome Sciences at the University of Washington has an outstanding opportunity for a Senior Research Scientist.

POSITION PURPOSE

The Senior Research Scientist will lead, present on, apply for funding for, and manage training for multiple projects across multiple labs, including national and international collaborations, using high-throughput mass spectrometry, computational approaches, and proteomics sample preparation.

DIMENSIONS AND IMPACT TO THE UNIVERSITY

This Senior Research Scientist will work in cutting-edge mass spectrometry laboratories whose work impacts other researchers worldwide. The research conducted will be reflected in even greater funding opportunities and enhancement of the reputation of the University as a biomedical research powerhouse.

DUTIES AND RESPONSIBILITIES

Computational and technical leadership within the UW Proteomics Resource (50%)
  • Collaborate on research, preparation, analysis and software development with UWPR users, the University's proteomics researchers, and the national and global proteomics communities.
  • Develop and carry out targeted and discovery-based quantitative proteomics methods, including but not limited to data-dependent acquisition (DDA) methods, label free quantitation (LFQ), sample multiplexed, data independent analyses (DIA), and parallel reaction monitoring (PRM) targeted methods.
  • Provide technical expertise for the computational resource for the UW Proteomics Resource (UWPR), collaborating with other members of the UWPR, and on other projects as time permits.
  • Lead the acquisition, maintenance and operation of high performance mass spectrometers
  • Prepare protein and biological samples for analysis by mass spectrometry.
  • Develop and run quality control steps to ensure mass spectrometers are tuned and analyses can deliver accurate qualitative and quantitative results.
  • Lead the training and supervision of UW researchers in operation of mass spectrometry instrumentation.
  • Advise users of the UWPR on assay development and implementation.
  • Maintain accurate records of all aspects of lab experiments samples processed, analysis steps taken, and prepare thorough but succinct reports describing any and all findings.

    Computational and research leadership for proteomics and chemoproteomics method development (50%)
  • Lead large national and international projects and collaborations based on computational tools they develop along with proteomics workflows and data analysis pipelines to acquire and analyze large-scale and targeted proteomics data.
  • Independently develop innovative proteomic and computational methods for discovery, characterization and quantification of chemoproteomics analyses in simple and complex biological matrices.
  • Lead internal teams for the development and implementation assays to test and identify peptide and protein modifications. This includes being responsible for team development for large computational proteomics projects.
  • Lead the maintenance of lab instrumentation (e.g., mass spectrometers and HPLCs).
  • Lead the analysis of data generated by sample multiplexed and targeted proteomics methods to identify and quantify peptides and proteins using mass spectrometers.
  • Manage data analysis pipelines using lab software (Linux, Windows).
  • Develop computational tools for proteomics analysis and real-time instrument control using programming languages (R, Python, C#, C++).
  • Train and collaborate with internal and external users on computational approaches.
  • Present research and research tools at national and international training events, workshops, symposia, and conferences. This may include teaching users through tutorial sessions, seminars, workshops, symposia, or conferences.
  • Participate in research-related discussion during weekly lab meetings and meetings with the PI.
  • Lead the preparation and writing of grant applications to national and international funding agencies in collaboration with PI.
  • Manage budgets and subbudgets for projects and collaborations.
  • Prepare, write, and submit manuscripts in collaboration with PI.

    POSITION COMPLEXITIES

    The position demands organization, commitment, the ability to work with others, the ability to maintain a laboratory notebook, and experience in laboratory protocols.

    MINIMUM REQUIREMENTS

  • PhD in Biochemistry, Chemistry, Biology, or related field.
  • At least 6 years of experience and a strong national/international reputation for developing and implementing proteomics including protein sample processing, data analysis, mass spectrometry, and proteomics-related coding, as well as the development of new proteomics-related software.

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

    DESIRED QUALIFICATIONS

  • At least 10 years of experience working with Thermo Fisher instrumentation as these are the instruments present in the UWPR and Schweppe Labs.
  • Experience teaching computational and proteomics courses or giving tutorial presentations at seminars, symposia or conferences.
  • Experience with routine protein sample handling and purification techniques.
  • Experience analyzing multiple different types of proteomics samples and assays (DDA, DIA, crosslinking, isobaric labeling, label free, targeted/PRM).
  • Experience maintaining mass spectrometers, including pulling columns, cleaning sources and internal instrumentation, instrument calibration, and successful troubleshooting of issues that arise with mass spectrometers and HPLCs.
  • Experience writing and coding with R, Python, C#, and C++.
  • Experience in Linux, and interaction with institutional IT teams for system administration.
  • Experience leading computational teams for the development of new software.
  • Experience managing code and repositories using git and GitHub.
  • Experience presenting proteomics, computational, or mass spectrometry presentations at national and international meetings (e.g., HUPO, ASMS, IMSC) with necessary skills using MS Word, MS Excel, MS PowerPoint, and Adobe Illustrator.
  • Experience leading grant applications to state, national, and private funders to support ongoing and future projects.
  • Experience working with instrument control APIs for multiple instrument types.
  • Must have demonstrated experience in the form of publications and be an expert in the field.
  • A deep understanding of proteomics methods and technologies.
  • Must be able to successfully work on multiple projects simultaneously and independently lead these cross-functional efforts across multiple departments and institutions.
  • Must be self-motivated with the ability to take initiative and work independently.
  • Must be able to perform repetitive but delicate work with care and exact attention to procedural detail.
  • Excellent communication skills and meticulous record-keeping skills.
  • Strong organizational abilities.

    CONDITITONS OF EMPLOYMENT

  • Occasionally lifts and/or carries objects weighing up to 30 pounds.
  • Occasionally stoops and bends.
  • Occasionally reaches and grasps with arms and hands.

    Application Process: The application process 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 access 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.

    Committed to attracting and retaining a diverse staff, the University of Washington will honor your experiences, perspectives and unique identity. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable and welcoming.

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

    To request disability accommodation in the application process, contact the Disability Services Office at or .

    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 .
  • Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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