Research Scientist IV, Information Science (Extended Temporary) (Remote Work Available)

Posting Number

req25414

Department

Information Science

Department Website Link

Location

To Be Determined

Address

USA

Position Highlights

The University of Arizona College of Information Science focuses on the intersection of people, data, and technology, offering innovative programs in information science, data science, cybersecurity, game design, and immersive technologies. Established in 2023 and expanded in 2025, the college provides STEM-designated undergraduate and master’s degrees, and a PhD. in Information. With nationally ranked programs such as the #1 Best Online Bachelor’s in Cybersecurity, #4 Best Master’s in Data Science, and #10 Global Ranking of Library an Information Science Programs, we emphasize computational thinking, ethical reasoning, and multicultural communication while driving research and partnerships such as Arizona Cybersecurity Academy, AI Core, Gaming and Virtual Worlds, Human -Centered Computing, and many other areas of research.

The University of Arizona's College of Information Science invites you to apply to the role of Research Scientist IV. In this exciting role, you will serve as a senior researcher with Dr. Peter Jansen on a DARPA funded research project in artificial intelligence and natural language processing focused on scientific feasibility assessment. The project investigates methods for evaluating the feasibility of scientific claims using AI approaches that focus on autonomously building, running, and evaluating code-based experiments, that may integrate simulators, tools, literature-based knowledge, and other methods.

As a senior research scientist, you will provide high‑level scientific and technical leadership, oversee the design and implementation of experimental pipelines, maintain robust research codebases, and ensure methodological rigor across large‑scale empirical studies. In this position, you will work closely with internal teams, student researchers, and external collaborators to contribute to research strategies and the development of new methodological directions.

Candidates working anywhere in the U.S. may be considered for a remote assignment. If you are selected for this position and are employed to work remotely from outside of Arizona, your overtime exemption status will depend on the laws of the state where you perform your work. For employees working outside of Arizona, you may be hired as an hourly employee in accordance with state laws. A comparable hourly rate range would be: $36.32 - $47.22. These changes would not affect the position duties as outlined.

This is an Extended Temporary Employment (ETE) position.

Applicants must be currently authorized to work in the United States.

Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to U of A recreation and cultural activities; and more!

Full-time, benefits-eligible employees also enjoy a comprehensive paid time off program. For more information on the university's total benefits and compensation package, please visit:

The University of Arizona has been recognized for our innovative work-life programs.

Duties & Responsibilities

In this role, you will:

• Lead the design, implementation, and evaluation of AI/NLP systems for scientific feasibility assessment; develop and test integrated pipelines combining literature-based discovery, structured knowledge extraction, simulation, and code-based experimentation; run experiments and benchmarking at scale.
• Architect and maintain high-quality research codebases in Python and related tools; implement automated experimentation frameworks, simulation integrations, and evaluation infrastructure; ensure reproducible artifacts, logging, and documentation for large-scale empirical studies.
• Design and execute systematic empirical analyses of model behavior and experimental outcomes; analyze large-scale datasets, intermediate outputs, and logs to diagnose system performance, refine methods, and ensure research rigor.
• Lead and co-author conference and journal papers for top-tier AI/NLP and machine learning venues; prepare manuscripts for peer-reviewed publication; create clear technical presentations and present findings at national and international conferences.
• Develop research directions, experimental methodology, and project roadmaps; assist with preparation of technical reports, and research documentation as needed.
• Drive collaboration, manage relationships, and provide technical guidance to student researchers where appropriate.
• Contribute to a collegial, respectful, and collaborative research environment through professional and constructive communication.
• Coordinate with collaborators within and outside the University as needed for joint experiments, data integration, and research dissemination.

Knowledge, Skill