Research Data Scientist

University of California Riverside

Job Number: 31669584
Full/Part Time: Full Time
Schedule: 8AM - 5PM
Salary: $78,700 - $145,100

Position Information
Data-intensive and AI-assisted discovery has emerged as a new paradigm for research and innovation. To build up our competitive advantage, the University of California, Riverside (UCR) Library seeks TWO full-time Research Data Scientists to join our Research Services department. Reporting to the Director of Research Services (vacant academic position currently under recruitment), the incumbents 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. They will seek opportunities to embed themselves in campus research teams to directly address UCR researchers' data and AI-related needs through activities that include 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, Research and Economic Development, Information Technology Services, and Research Computing, they will continuously develop specialized and sought-after data science and AI expertise synergistic with UCR faculty's research agendas. Ideal candidates are highly collaborative problem-solvers specializing in data science, statistical, and/or machine learning methods and tools, and have worked with various forms of data, including text. They should also enjoy conducting research across discipline lines to explore novel research fronts and are committed to lifelong learning and collaboration.

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.

Education
Education Requirements

Degree
Requirement 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

Experience
Requirement 4 - 7 years of related experience. Required Experience competing for research grants. Preferred Experience working in an academic library. Preferred Experience developing or supporting research-based communities. Preferred Experience in identifying research needs and building research collaborations to effectively meet those needs. Preferred


Minimum Requirements
Special Condition Requirement Must pass a background check. Required


Preferred Qualifications
Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines.
Proven ability to successfully work on multiple concurrent projects.
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.
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.
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 experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators.
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.
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.


Additional Information
Demonstrated ability to contribute research and technical content to grant proposals.

Demonstrated ability to regularly interface with management.

History of academic publishing.



To apply, please visit: https://irecruitportal.ucr.edu/irecruit/!Controller?action=jobs_webui.show_page&page=jobs_detail&requisition_id=31669584&profile_id=&module=jobs







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