Job ID: Location: Main Campus - UCR Schedule: 8AM - 5PM Category: Research and Development Salary: $81,500 - $150,100 Full/Part Time: Full-time(100%) Organization: University Library Department: University Library Dept Application Deadline: Open Until Filled
Position Information: Reporting to the Director of Research Services, this position will be the driving force of the library's Data Science Initiative to support campus research through interdisciplinary collaboration on cutting-edge projects in STEM, Liberal Arts, and Social Sciences. Seeks opportunities to embed themselves in campus research teams to directly address UCR researchers' data and AI related needs through activities including but are not limited to: designing, developing and implementing infrastructure, systems, software and solutions; directly answering compute- and data- intensive research questions; contributing novel ideas, expertise, and methods to the teams' intellectual discourse and advancement; providing data/AI related consultation and instruction. In partnership with other library colleagues as well as UCR colleges, academic programs, and Research and Economic Development, Information Technology Services, and Research Computing, will continuously develop specialized and sought-after data science and AI expertise synergistic with UCR faculty's research agendas.
Candidates are encouraged to include a CV and/or portfolio link with examples of AI/Data related work, if available.
Finalists will be asked to conduct a presentation (including providing visual representation of work samples) as part of the interview process.
The full salary range for the Research Data Scientist is $81,500 - $150,100 annually. However, the expected pay scale for this position is up to $115,000 annually. We base salary offers on a variety of considerations, such as education, licensure and certifications, experience, and other business and organizational needs.
Applicants must have current work authorization when accepting a UCR staff position. Currently, we are unable to sponsor or take over sponsorship of an employment Visa for staff.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Requirements: Educational Requirements
Bachelor's degree in Computer/Computational/Data Science, or Domain Sciences with computer/computational/data specialization or equivalent experience. Required
Terminal degree with extensive research experience in data-intensive and/or AI assisted discovery. Preferred
Experience Requirements
4 - 7 years of related experience. Required
Experience competing for research grants. Preferred
Experience in identifying research needs and building research collaborations to effectively meet those needs. Preferred
Experience working in an academic library. Preferred
Experience developing or supporting research-based communities. Preferred
Special Conditions Special
Must pass a background check. Required
Minimum Requirements
Intermediate knowledge of HPC/data science/CI.
Advanced skills, and demonstrated experience associated with one or more of the following: HPC hardware and software power and performance analysis and research, design, modification, Implementation and deployment of HPC or data science or CI applications and tools.
Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences.
Proven skills and experience in independently resolving broad computing/data/CI problems using introductory and/or intermediate principles.
Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines.
Thorough experience working in a complex computing/data/CI environment encompassing all or some of the following: HPC, data science infrastructure and tools/software, and diverse domain science application base.
Proven ability to successfully work on multiple concurrent projects.
Proven ability to understand research computing/data/CI needs, mapping use cases to requirements and how systems/software/infrastructure can support those needs and meet the requirements. Demonstrated ability to develop and implement such solutions.
Demonstrated broad experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC/data/CI.
Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators.
Proficiency in R or Python.
Demonstrated experience applying statistical modeling and/or machine learning methods to research problems, e.g., text mining, natural language processing, image segmentation, voice recognition, etc.
Knowledge of and demonstrated experience in one or more of: data collection (e.g., through Web scraping, survey, sensor data acquisition, etc); data preprocessing, postprocessing, and analysis; static and dynamic visualization.
Preferred Qualifications
Demonstrated ability to regularly interface with management.
Demonstrated ability to contribute research and technical content to grant proposals.
History of academic publishing.
Knowledge of and experience with Tensor Flow, Pytorch or other similar frameworks/infrastructures or applications.
Additional Information: Additional Information In the Heart of Inland Southern California, UC Riverside is located on nearly 1,200 acres near Box Springs Mountain in Southern California; the park-like campus provides convenient access to the vibrant and growing Inland region. The campus is a living laboratory for the exploration of issues critical to growing communities' air, water, energy, transportation, politics, the arts, history, and culture. UCR gives every student, faculty and staff member the resources to explore, engage, imagine and excel.
UC Riverside is recognized as one of the most ethnically diverse research universities in the country boasting several key rankings of which we are extremely proud.
UC Riverside is proud to be ranked No. 12 among all U.S. universities, according to Money Magazine's 2020 rankings, and among the top 1 percent of universities worldwide, according to the 2019-20 Center for World University rankings.
UC Riverside is the top university in the United States for social mobility. - U.S. News 2020
UCR is a member of the University Innovation Alliance, the leading national coalition of public research universities committed to improving student success for low-income, first-generation, and students of color.
Among top-tier universities, UC Riverside ranks No. 2 in financial aid. - Business Insider 2019
Ranked No. 2 in the world for research, UCR's Department of Entomology maintains one of the largest collections of insect specimens the nation. - Center for World University Rankings
UCR's distinguished faculty boasts 2 Nobel Laureates, and 13 members of the National Academies of Science and Medicine.
The University of California is an Equal Opportunity/Affirmative Action Employer with a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law.
Plans, designs, develops, modifies, debugs, deploys and evaluates complex HPC (software and/or hardware) or data science or computational science or CI research software and technologies or combination thereof. Analyzes existing software, scientific codes, data science/analytics codes/algorithms, and HPC related hardware or works to formulate logic for new complex systems and devises complex algorithms. Performs complex analysis and tests/debugs complex software and hardware. Applies complex programming practices. May work with domain scientists and researchers in application areas such as bioinformatics, GIS, data analytics, computational drug discovery, etc. where applicable to perform these responsibilities and uses domain science knowledge where relevant.
20%
Develops implements and executes complex software and hardware research and development plans. Performs complex HPC, computational and data modeling, performance and integration testing.
15%
Documents usage modes, capabilities, characteristics and performance of research codes, research HPC systems (hardware and software) and CI tools/software. Publishes and presents, based on research and development work, results about CI tools, HPC systems, data science techniques and tools, performance and algorithm enhancement in research venues to attract usage from domain science communities, or to promote latest technologies within the community.
15%
Participates and contributes to HPC/data science/CI research proposals in collaboration with other researchers and Principal Investigator (PI) s from the organization.
15%
Understands and applies complex research and development practices, community standards and department policies and procedures relating to work assignments. Interacts with senior level internal personnel. May serve as technical lead for a research and development project of moderate scope. Has the ability to negotiate research and development project plans with interested collaborators, stakeholders and users as applicable.
15%
Provides consultation and instruction services on data, AI, and information skills.