Req #: 222359 Department: eSCIENCE INSTITUTE Job Location: Remote/Hybrid, Seattle Campus Posting Date: 05/23/2023 Closing Info: Open Until Filled Salary: $10,416 - $11,000 per month Other Compensation: Shift: First Shift Benefits: As a UW employee, you will enjoy generous benefits and work/life programs. For a complete description of our benefits for this position, please visit our website, click here. 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 eScience Institute is one of the nation's first university data science institutes, established in 2008. Our mission is to support researchers across disciplines in developing and applying advanced computational methods and tools to real world problems in data- driven research. The eScience Institute is the hub of data-intensive discovery on the University of Washington campus. We engage in research and training programs or a variety of durations across an array of subjects. Our goal is to spread proficiency in the methods and tools of data-driven research, which in turn grows the impact of data science across engineering and scientific disciplines.
The eScience Institute has an outstanding opportunity for a researcher with strengths in data-intensive methods to join our team as a Data Scientist (Research Scientist - Sr.). As a member of our core research team, you will participate in expanding campus-wide opportunities at the intersection of data science and applied areas such as the arts, engineering, humanities and sciences through collaborative research, consultation, community building, and educational activities. You will also have the opportunity to explore your own independent research agenda in your preferred area of study through the use of data, data-intensive methods, and computation. The eScience Institute empowers researchers and students in all fields across the University of Washington to answer fundamental and transformative questions. As the hub of data-intensive discovery on campus, we lead a community of innovators in the techniques, technologies, and best practices of data science.
Data Scientist roles in the eScience Institute are full time, permanent (not term-limited), appointments where you can build a career with advancement opportunities and a rich set of professional development and mentorships opportunities.
The values of diversity, equity, and inclusion are integral to the success of our research enterprise and are embedded in the culture of who are area as an institution and employer. The eScience Institute shares President Cauce's commitment to combat inequities in higher education and research.
In this role, the Data Scientist will both plan and execute data science research, translate research results into solutions and produce practical applications that will deliver lasting impact across domains. Data Scientists are expected to teach data science skills and methods through office hours, technical workshops, tutorials, and Incubator projects. Research projects will be sourced through joint collaborations with eScience faculty and other researchers, and through the independent research goals of the applicant. Working as part of an existing team, successful candidates will have ample opportunity to publish their research, pursue external funding with collaborators across disciplines, and contribute to collaborative software development, innovative technical consulting, development and delivery of training, and other activities designed to advance the research and practice of data-driven and data-intensive discovery across fields. Successful candidates will have demonstrable experience in one or more applications of data science techniques and technologies - e.g. databases and data management technologies, machine learning and modern statistical methods, or data presentation and visualization.
DUTIES AND RESPONSIBILITIES
Independent research Contribute to significant open source software projects using appropriate technologies in large-scale data management, machine learning and statistics, interactive visualization, specialized data presentation interfaces, and/or other data science techniques.
Produce research products such as well-documented algorithms and code, software, and research publications.
Contribute to the Institute research program by seeking grants from both traditional agencies and novel channels to develop analytical and computational tools.
Serve as the principal investigator (PI) or Co-PI on the projects funded by grants.
May supervise and train a student Research Assistant to assist with projects.
Work to release open source software and open data, help ensure scientific reproducibility of all results, and contribute to a "culture of reproducibility" across campus.
Review and evaluate potential projects for technical merit and feasibility.
Organize and conduct workshops and training events in data science techniques and technologies for diverse target audiences.
Meet with potential collaborators to clarify goals, identify collaboration opportunities and recommend solutions.
Advance a reputation outside of UW for excellence in data science methods and practice, contributing to the Institute's overall portfolio of successful projects and programs.
Foster and build research collaborations with other researchers at UW.
Participate in Institute sponsor reporting and annual retreat activities.
Prepare and deliver presentations on significant results, both internally and externally, representing the eScience Institute as well as specific projects.
Develop web materials communicating significant results, best practices and case studies with specific technologies, and documentation for significant software.
Participate in core team meetings and activities
Serve on standing and/or ad hoc teams such as hiring committees, equity team, etc.
Foster and build research collaborations with other researchers at UW
Participate as needed and interest arises in other core programs of the Institute, such as the Data Science Incubator, Software Carpentry, Hack Weeks, etc.
Hold open office hours for students, faculty, staff and post-docs
PhD or equivalent in any discipline, with a strong computational background.
A minimum of 6 years of experience in programming and software engineering and/or advanced statistical methods including experience:
- Applying one or more programming languages to construct full scientific pipelines, from data ingestion / clean-up to modeling, to visualization and analysis.
- Collaborating and coordinating work via an online platform, such as GitHub, GitLab, or BitBucket, and distributed revision control.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
Skills to communicate complex information in a clear and concise manner both verbally and in writing.
Strong capacity for teamwork, collaborative, critical thinking, and attention to detail.
A successful research track record, especially through collaborations outside one's own field, as evidenced by joint publications, joint grants, and collaborative software outputs.
Previous experience in the University of Washington College of Engineering.
Leadership in collaborative projects in open source software development.
Experience engaging with highly technical researchers across a variety of methodological fields, research domains, and computational platforms.
Experience with seeking extramural funding to support research, education and training programs.
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 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 206-543-6450 or firstname.lastname@example.org.
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.