Research Administration Data Scientist

This posting will hire two applicants to meet the needs of this project.

The University of Idaho is seeking two Data Scientists to participate in an innovative National Science Foundation-funded project: “Crossing the Innovation Valley of Death:
Democratizing Data and Artificial Intelligence for Research Administration.” The project offers the opportunity to pioneer the development of open-source AI solutions that will reshape how universities manage operations, while leading the democratization of data access and analysis across the research administration landscape. The goal is to drive institutional change by bridging the gap between cutting-edge technology and administrative efficiency. The candidates will help architect and implement AI-powered solutions to streamline workflows, design data integration strategies across multiple university systems and departments, and create scalable, open-source tools that can be adopted by research administration units nationwide.

One position will have a focus on technical development and implementation, while the other will combine technical expertise with training and knowledge dissemination responsibilities.

https://(Use the "Apply for this Job" box below)./osp

Position Information

• Internal Posting?
• Posting Number SP004702P
• Position Title Research Administration Data Scientist
• Division/College University Research
• Department University Research
• Location Moscow

• Two years in a data scientist or data engineering type position
• Programming in one or more computer languages commonly used in data science (e.g., Python, R, Julia, MATLAB)
• Designing and using relational databases, including demonstrated experience with writing SQL queries
• Collecting, organizing, and managing large data sets
• Using APIs and web scraping tools to develop and connect large interoperable databases
• Implementing best practices for rigorous data security
• Working both independently and within a team managing multiple projects with competing deadlines

• Bachelor’s Degree

• None

• A Masters or PhD in data science, data engineering, data analytics, computer science, business analytics, management information systems (MIS), statistics, mathematics, software engineering, informatics or related field
• Experience in a Research Administration setting, preferably at an Institution of Higher Education
• Developing and presenting data visualizations in static and interactive formats to communicate analyses, methods, and results
• Experience providing training and giving presentations to groups of people
• Experience with retrieval augmented generation using large language models
• Proven ability to effectively communicate with peers and coworkers on complex research and technology issues in both group and individual settings
• Understanding of and experience with institutional research data
• Experience with the following technologies:
• Web Development with HTML, CSS, Java script as well as PHP or Python
• Understanding of common metadata standards and practices
• Web service Application Programming Interfaces (APIs)
• JSON, XML, XSLT, and related tools
• Linux operating systems
• Software configuration and versioning tools such as:
  Git/Git Hub, Subversion, etc
• AI integration using Langchain or other pipelines
• Experience with the use, training, and fine-tuning of artificial intelligence and large language models
• Knowledge and understanding of computer security and compliance frameworks such as CMMC and NIST
• Experience writing IT programming specifications
• Experience in handling confidential information
• Experience with using high performance computing environments
• Excellent written and verbal communication and interpersonal skills as demonstrated in application materials
• Self-motivated, team-oriented attitude as demonstrated in application materials

• None

Listed degree qualification is required at time of application

• FLSA Status Exempt
• Employee Category Exempt
• Pay Range $85,000 annually, or higher depending on experience.
• Type of Appointment Fiscal Year FTE 1.0
• Full…