University of Utah
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Research Associate
role at
University of Utah
Job Summary We are looking for MS and PhD students with experience and interest in state‑of‑the‑art data management technologies, high performance computing, memory management, and software development. You will enjoy being part of a world‑renowned research institute and work closely with other students, PostDocs, software engineers, and faculty members on developing cutting‑edge AI‑ready data management. We're working on extending and maintaining the National Data Platform ( https://nationaldataplatform.org/ ) and advanced data management software in the Science Data Exchange ( https://scidx.sci.utah.edu/ ) with new use cases, features, and technology. We're seeking Research Associates who can contribute to the research and development of advanced data management and AI‑ready platforms with topics such as data discovery, data & memory management, heterogeneous data integration, multi‑modal machine learning, HPC, cyberinfrastructure, edge computing, cloud computing, data streaming, remote execution, agentic programming, and NLP interfaces. Areas of application include geosciences (environmental, climate, atmospheric, earthquake, hydrology, etc), medical imaging, sociology (food security, policy impacts, etc), and more.
Please contact Jess Tate (jess@sci.utah.edu) for further information.
The SCI Institute The SCI Institute is a world‑class research institute located within the new Warnock Engineering Building on the University of Utah campus. We are a highly dynamic, driven group of over 170 faculty, staff, and students. The overarching goals of the SCI Institute's scientific computing research are to create new techniques, tools, and systems, by which scientists may solve problems affecting various aspects of human life. We believe that to advance the state‑of‑the‑art and create meaningful computational solutions for such complex systems, one needs to advance research in a number of areas within scientific computing, including visualization, simulation, and modeling. The SCI Institute presents a highly challenging, collaborative work environment that can be deeply rewarding for the right individual. Further information is available at
http://www.sci.utah.edu/ .
Work Environment
You will be contributing to cutting‑edge computational methods for data management, HPC, edge computing and more.
You will work with a diverse team of students, professional software engineers, research staff, and faculty.
We offer professional career development opportunities.
Responsibilities
Work with faculty, students, and staff in designing and developing research products: scientific/engineering papers, conference presentations, seminar presentations, etc.
Aid in the specification of software requirements in coordination with faculty or team leads.
Contribute to software products with code contributions, testing, review, and documentation.
Profile and optimize performance for software products and research pipelines.
Interface with collaboration partners and participate actively in a collaborative work environment to turn requirements into optimal solutions on a large scale.
Contribute actively to team discussions on architectural design and solutions by continuously looking for improvements.
Research and stay current with project‑related scientific literature.
Identify and implement creative solutions to overcome problems.
Mentor other team members on research, technology, and project expertise.
Support the end‑user community by responding to user questions posted on the discussion list, fixing bugs, and incorporating feature requests.
Help with the project website and discussion boards for user support, developer support, and announcements.
Contribute to teaching activities by preparing and presenting educational seminars.
Minimum Qualifications
Current or planned MS or PhD student at the University in CS or related field.
Solid background and working knowledge of computer science fundamentals including algorithms, data structures, object‑oriented programming, server technology, and databases.
Strong understanding of Linux toolchains, and debugging tools.
Proficiency in Python or similar language.
Experience in git, or similar version control system, and their platforms (GitHub, GitLab, etc).
Ability to navigate issues related to low‑level system dependencies, architecture flags (e.g., AVX), etc.
Debugging and critical thinking skills including identifying bottlenecks, bugs and devising solutions to these problems.
Preferred Skills and Experience
Experience contributing to scientific computing frameworks.
Knowledge of RDMA, libfabric, or similar low‑level communication APIs.
Familiarity with FastAPI, Kafka, or Python pipelines for integration.
Working with large codebases.
Experience with GitHub Actions, GitLab CI, or similar CI/CD systems.
Containerization (Docker) and building software for multi‑arch environments.
Development in high‑performance computing (HPC) or distributed systems.
Strong understanding of Linux toolchains, build systems (CMake), and debugging tools.
Parallel computing libraries (MPI, RPC, Mercury, Margo).
Experience with HTML and web technologies.
Cloud computing platforms and web deployment technologies.
Non‑Technical Skills
Able to work in a collaborative software development environment as well as working independently with minimal supervision and direction.
Able to learn new tools and technologies.
Being self‑motivated and having good organizational, communication, and teamwork skills is essential.
Willingness and ability to collaborate in a highly diverse, multi‑disciplinary environment.
Excellent oral and written communication skills necessary to effectively work in a multidisciplinary team environment.
Communication and presentation skills to engage technical and non‑technical audiences.
Strong interpersonal abilities and teamwork skills.
Highly motivated to support research projects.
Ability to manage time across simultaneous tasks.
Note: This job description is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
Position Details Requisition Number: PRN16504N
Full Time or Part Time: Part Time
Department: 00810 - Scient Comp & Imag Instit-Oper
Location: Campus
Pay Rate Range: 20,000 to 42,000
Close Date: 1/31/2026
To apply, visit https://utah.peopleadmin.com/postings/191386
#J-18808-Ljbffr
Research Associate
role at
University of Utah
Job Summary We are looking for MS and PhD students with experience and interest in state‑of‑the‑art data management technologies, high performance computing, memory management, and software development. You will enjoy being part of a world‑renowned research institute and work closely with other students, PostDocs, software engineers, and faculty members on developing cutting‑edge AI‑ready data management. We're working on extending and maintaining the National Data Platform ( https://nationaldataplatform.org/ ) and advanced data management software in the Science Data Exchange ( https://scidx.sci.utah.edu/ ) with new use cases, features, and technology. We're seeking Research Associates who can contribute to the research and development of advanced data management and AI‑ready platforms with topics such as data discovery, data & memory management, heterogeneous data integration, multi‑modal machine learning, HPC, cyberinfrastructure, edge computing, cloud computing, data streaming, remote execution, agentic programming, and NLP interfaces. Areas of application include geosciences (environmental, climate, atmospheric, earthquake, hydrology, etc), medical imaging, sociology (food security, policy impacts, etc), and more.
Please contact Jess Tate (jess@sci.utah.edu) for further information.
The SCI Institute The SCI Institute is a world‑class research institute located within the new Warnock Engineering Building on the University of Utah campus. We are a highly dynamic, driven group of over 170 faculty, staff, and students. The overarching goals of the SCI Institute's scientific computing research are to create new techniques, tools, and systems, by which scientists may solve problems affecting various aspects of human life. We believe that to advance the state‑of‑the‑art and create meaningful computational solutions for such complex systems, one needs to advance research in a number of areas within scientific computing, including visualization, simulation, and modeling. The SCI Institute presents a highly challenging, collaborative work environment that can be deeply rewarding for the right individual. Further information is available at
http://www.sci.utah.edu/ .
Work Environment
You will be contributing to cutting‑edge computational methods for data management, HPC, edge computing and more.
You will work with a diverse team of students, professional software engineers, research staff, and faculty.
We offer professional career development opportunities.
Responsibilities
Work with faculty, students, and staff in designing and developing research products: scientific/engineering papers, conference presentations, seminar presentations, etc.
Aid in the specification of software requirements in coordination with faculty or team leads.
Contribute to software products with code contributions, testing, review, and documentation.
Profile and optimize performance for software products and research pipelines.
Interface with collaboration partners and participate actively in a collaborative work environment to turn requirements into optimal solutions on a large scale.
Contribute actively to team discussions on architectural design and solutions by continuously looking for improvements.
Research and stay current with project‑related scientific literature.
Identify and implement creative solutions to overcome problems.
Mentor other team members on research, technology, and project expertise.
Support the end‑user community by responding to user questions posted on the discussion list, fixing bugs, and incorporating feature requests.
Help with the project website and discussion boards for user support, developer support, and announcements.
Contribute to teaching activities by preparing and presenting educational seminars.
Minimum Qualifications
Current or planned MS or PhD student at the University in CS or related field.
Solid background and working knowledge of computer science fundamentals including algorithms, data structures, object‑oriented programming, server technology, and databases.
Strong understanding of Linux toolchains, and debugging tools.
Proficiency in Python or similar language.
Experience in git, or similar version control system, and their platforms (GitHub, GitLab, etc).
Ability to navigate issues related to low‑level system dependencies, architecture flags (e.g., AVX), etc.
Debugging and critical thinking skills including identifying bottlenecks, bugs and devising solutions to these problems.
Preferred Skills and Experience
Experience contributing to scientific computing frameworks.
Knowledge of RDMA, libfabric, or similar low‑level communication APIs.
Familiarity with FastAPI, Kafka, or Python pipelines for integration.
Working with large codebases.
Experience with GitHub Actions, GitLab CI, or similar CI/CD systems.
Containerization (Docker) and building software for multi‑arch environments.
Development in high‑performance computing (HPC) or distributed systems.
Strong understanding of Linux toolchains, build systems (CMake), and debugging tools.
Parallel computing libraries (MPI, RPC, Mercury, Margo).
Experience with HTML and web technologies.
Cloud computing platforms and web deployment technologies.
Non‑Technical Skills
Able to work in a collaborative software development environment as well as working independently with minimal supervision and direction.
Able to learn new tools and technologies.
Being self‑motivated and having good organizational, communication, and teamwork skills is essential.
Willingness and ability to collaborate in a highly diverse, multi‑disciplinary environment.
Excellent oral and written communication skills necessary to effectively work in a multidisciplinary team environment.
Communication and presentation skills to engage technical and non‑technical audiences.
Strong interpersonal abilities and teamwork skills.
Highly motivated to support research projects.
Ability to manage time across simultaneous tasks.
Note: This job description is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
Position Details Requisition Number: PRN16504N
Full Time or Part Time: Part Time
Department: 00810 - Scient Comp & Imag Instit-Oper
Location: Campus
Pay Rate Range: 20,000 to 42,000
Close Date: 1/31/2026
To apply, visit https://utah.peopleadmin.com/postings/191386
#J-18808-Ljbffr