Top 2 Research computer scientists Jobs in Oklahoma

Lead Researcher
University of Oklahoma —Norman, OK
- $75,000 - $87,000 a year
- No weekends
- Background check
- 3 years
- Master's degree

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Lead Researcher

University of Oklahoma -
Norman, OK

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Job Details

$75,000 - $87,000 a year

Qualifications

AI models
Experience working with post-secondary students
GPU programming
TensorFlow
AI use case identification
Staff supervision
Computational research
Qualitative data analysis
Field studies
Team supervision
PyTorch
Conference papers
Student mentoring
Faculty collaboration
Program development
High-performance computing clusters
Experience working with graduate students
Tutoring
Publishing papers in peer-reviewed journals
UNIX
AI platforms (beyond public GPTs)
3 years
Cataloging
Master's degree
Collaborative research
Research project technical leadership
Research report preparation
Experience working with undergraduate students
Content development
Developing new training programs

Full Job Description

Job no: 492719
Work type: Professional
Location: Norman
Categories: Technology/Research

Pay Range: Targeted salary $75,000 - 87,000 annually, based on experience

Benefits Eligible: Yes

Work Schedule: Monday – Friday 8:00 a.m. to 5:00 p.m., may include some weekends

Travel: Not required

For Best Consideration Date: 6/1/2026

Position Introduction:

Are you a highly motivated individual who thrives in a fast-paced, high-performing, dynamic team environment? This position works with a broad range of faculty, staff, postdoctoral researchers, graduate students and undergraduates, primarily but not exclusively in Science, Technology, Engineering and Mathematics (STEM) disciplines, collaborating with them to adapt AI into their research and/or to improve their use of AI. This position also includes developing and presenting training on using AI in research and creating a national workforce development program for AI Consultants. This position is within the OU Supercomputing Center for Education and Research (OSCER), a division of OU IT.

Oversees research activities and provides operational supervision for AI consulting.
Collaborates with research teams statewide in providing AI consulting, for adopting AI into those teams' research and/or
improving their use of AI.
Develops and presents training on adoption and improvement of AI in research.
Develops and presents workforce development content for pre-service and in-service AI Consultants.
Mentors’ student AI Consultants and peer-mentors professional AI Consultants.
Collaborates with colleagues in the OU IT Research Computing team and other OU IT teams to support use of AI intensive systems and services.
Responsible for oversight of research activities and projects.
Initiates, plans and directs field studies.
Supervises and directs the preparation, identification, and cataloging of information and specimens.
Executes special projects, researches and analyzes data, writes reports and makes recommendations.
Searches and applies for sponsored research.
Performs qualitative and quantitative analyses.
Maintains an up-to-date literature file related to field of specialization.
Prepares and submits research for presentations and publication.
Performs various duties as needed to successfully fulfill the function of the position.

Required Education and Experience:

Master's degree.
36 months related research experience, including supervision.

Equivalency/Substitution: Will accept 72 months related research experience in lieu of the Master's degree for a total of 108 months of related experience.

Department Preferences:

Experience and proficiency with Python programming, especially for AI calculations.
Experience and proficiency with use of AI software technologies (for example, Tensorflow, PyTorch, etc.).
Experience and proficiency with using hardware accelerators, especially GPUs for AI calculations.
Experience with research and/or practice in one or more STEM disciplines.
Experience with collaborating with researchers (faculty, staff, postdoctoral researchers, graduate students and/or
undergraduate students), especially across multiple disciplines.
Experience with teaching and/or tutoring and/or providing research training.
Experience and proficiency with high performance computing and/or similar area of computing.
Experience with using one or more Unix-like operating systems, for example Linux.

Hiring Contingent Upon a Background Check: Yes

Advertised: 29 Apr 2026 Central Daylight Time
Applications close: 28 Jul 2026 Central Daylight Time

Apply Now

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