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Ai For Science Jobs in Utah (NOW HIRING)

Recruiting for this role ends on 5/31/2026. Work you'll do As a Finance AI Manager on the Finance ... Bachelor's degree in Business, Computer Science, Data Science, or a closely defined field from an ...

Data Engineer IV - AI & Data Products

Draper, UT · On-site

$107K - $128.50K/yr

Validate domain datasets for accuracy and completeness. Ensure domain data is of high quality and consumable by reporting, analytics, data science, and AI use cases. Stakeholder Collaboration

Faculty Lead & Learning Engineer - Sciences

Lehi, UT · On-site

$96.20K - $126.70K/yr

You'll craft an engaging, rigorous, and fun science learning experience for students while setting the standard for science teaching in the AI era. You'll bring the depth of an academic and the ...

Explore opportunities for machine learning, deep learning, and generative AI in predictive modeling ... Bachelors degree in Computer Science, Engineering, Statistics, Data Science or related field plus ...

Explore opportunities for machine learning, deep learning, and generative AI in predictive modeling ... Bachelors degree in Computer Science, Engineering, Statistics, Data Science or related field plus ...

Explore opportunities for machine learning, deep learning, and generative AI in predictive modeling ... Bachelors degree in Computer Science, Engineering, Statistics, Data Science or related field plus ...

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Ai For Science information

What are the key skills and qualifications needed to thrive as an AI for Science Specialist, and why are they important?

To thrive as an AI for Science Specialist, you need a strong background in computer science, mathematics, and scientific domains, often supported by advanced degrees (e.g., PhD or MSc) in relevant fields. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools, and familiarity with high-performance computing environments are typically required. Critical thinking, interdisciplinary collaboration, and effective communication are crucial soft skills for translating scientific problems into AI solutions. These skills are vital for developing innovative models, ensuring research rigor, and enabling impactful scientific discoveries.

How does collaboration typically work between AI for Science professionals and domain experts in research teams?

AI for Science professionals frequently work closely with experts in fields such as biology, chemistry, or physics to identify scientific problems that can benefit from machine learning techniques. Collaboration usually involves regular meetings to translate complex scientific challenges into data-driven models, sharing domain knowledge, and iteratively refining solutions. Effective communication and a willingness to bridge gaps between computational and scientific perspectives are essential. This interdisciplinary teamwork not only enhances the impact of AI solutions but also fosters ongoing learning and innovation.

What is AI for Science?

AI for Science refers to the application of artificial intelligence and machine learning techniques to accelerate scientific discovery and research. By leveraging large datasets, complex models, and advanced computational methods, AI helps scientists analyze data, identify patterns, simulate experiments, and make predictions across various scientific fields such as biology, chemistry, physics, and climate science. This approach can significantly speed up research, uncover new insights, and solve problems that were previously too complex or time-consuming for traditional methods.

What is the difference between Ai For Science vs Data Scientist?

AspectAi For ScienceData Scientist
Required CredentialsDegree in Science, Computer Science, or related fields; knowledge of AI and machine learningDegree in Statistics, Computer Science, or related fields; strong programming skills
Work EnvironmentResearch labs, scientific institutions, tech companies focused on scientific applicationsCorporate, tech firms, finance, healthcare, and other industries analyzing data
Industry UsageApplied to scientific research, simulations, and experimental data analysisUsed for data analysis, predictive modeling, and business insights

Ai For Science focuses on applying AI techniques to scientific research and experiments, often requiring a background in science and specialized knowledge of AI. Data Scientists analyze large datasets across various industries to extract insights and build models. While both roles involve AI and data analysis, Ai For Science is more research-oriented within scientific contexts, whereas Data Scientists work across diverse sectors on data-driven decision making.

What are popular job titles related to Ai For Science jobs in Utah? For Ai For Science jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Ai For Science jobs? Cities in Utah with the most Ai For Science job openings:
Infographic showing various Ai For Science job openings in Utah as of May 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 87% In-person, and 13% Remote job distribution.

School of Computing Assistant Professor

Utah State University

Logan, UT • On-site

Full-time

Posted 10 days ago


Utah State University rating

7.3

Company rating: 7.3 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

304th of 528 rated colleges and universities


Job description

The School of Computing (SoC) at Utah State University (USU) is excited to invite applications for a tenure-track Assistant Professor position. We seek candidates whose research advances core areas of computer science while engaging with interdisciplinary domains where computing plays a pivotal role. This position is ideal for scholars who integrate computing with fields such as data science, AI for science, computational biology, robotics, cybersecurity, human-computer interaction, or other emerging areas. The successful candidate will demonstrate excellence in research, teaching, and a commitment to interdisciplinary collaboration.

Review of applications may begin as early as December 1, 2025 and will continue until the position is filled.

Areas of Interest

We welcome applicants whose work integrates computer science with other domains to advance emerging research frontiers. Examples include (but are not limited to):

  • Computational Biology & Bioinformatics. Leveraging algorithms and machine learning to decode genomic data, model biological systems, and accelerate drug discovery.
  • Cyber-Physical Systems & Robotics. Combining computing, control theory, and mechanical engineering to design intelligent autonomous systems for manufacturing, healthcare, and transportation.
  • Human-Centered AI & Cognitive Science. Integrating artificial intelligence with psychology and neuroscience to create adaptive systems that understand and augment human cognition.
  • Computational Sustainability & Environmental Modeling. Using data science and simulation to address climate change, optimize energy systems, and manage natural resources.
  • Secure and Ethical Computing in Socio-Technical Systems. Merging computer security, ethics, and social sciences to design trustworthy systems for finance, healthcare, and governance.

  • Develop a nationally recognized research program that is innovative, sustainable, and nationally recognized for excellence.
  • Teach and mentor students at both undergraduate and graduate levels, fostering curiosity and excellence.
  • Collaborate across disciplines to address complex societal challenges through computing.
  • Engage in service to the School, University, and professional communities.
  • Normal teaching load: Three courses per year, with a reduced load in the first year to support research startup.

Minimum:

  • Ph.D. in Computer Science or a closely related field by the time of appointment.
  • Evidence of research success and potential to secure external funding.
  • Commitment to excellence in teaching and mentoring.
  • Strong communication and problem-solving skills.

Preferred:

  • Experience in interdisciplinary research and/or industry collaboration.
  • Demonstrated ability to attract and supervise graduate students.

Along with the online application, please include:

  1. Resume/CV to be uploaded at the beginning of your application in the Candidate Profile under “Resume/CV".

The documents listed below to be uploaded at the beginning of your application in the Candidate Profile under “Documents 1-10”:

  1. Cover letter summarizing your motivation, qualifications, experience, and career goals.
  2. A concise statemenet of your proposed research program
  3. A brief teaching statement that explains your approach to teaching.

**Document size may not exceed 10 MB.**


Commensurate with education and experience, plus excellent benefits.

Employees work indoors and are protected from weather and/or contaminants, but not, necessarily, occasional temperature changes. The employee is regularly required to sit and often uses repetitive hand motions.


The College of Engineering at Utah State University is a regional leader in teaching and research. We are home to the world-famous Utah Water Research Laboratory and the National Science Foundation-funded ASPIRE Engineering Research Center for sustainable electrified transportation. Each year, our college welcomes an average of 2,600 undergraduate and 375 graduate students from around the globe. The college offers six ABET-accredited undergraduate degrees and nine graduate degree programs. In 2023, the college generated $40 million in research expenditures. Our award-winning faculty regularly secure competitive funding, and our students excel at national design and scholarships challenges. For more information, please visit: https://engineering.usu.edu/.


Founded in 1888, Utah State University is Utah’s premier land-grant, public service university. As an R1 research institution, Utah State is dedicated to advancing knowledge and serving the public good through innovative research and scholarly activities that are grounded in reciprocal engagement with local, regional, and global communities. USU prepares students to be active, civically engaged leaders who are prepared to address critical societal challenges. Dedicated to providing a high-quality and affordable education, USU remains a leader in research, discovery, and public impact.

USU enrolls over 29,800 students, both online and in person at locations throughout the state. Utah State’s 30 locations include a main campus in Logan, Utah, residential campuses in Price and Blanding, and six additional statewide campuses, along with education centers serving every county. USU educates students from all 50 states and more than 80 countries. For over 100 years, USU Extension has served and engaged Utahns, serving every county in the state.

Competing at the NCAA Division I level, USU is a proud member of the Mountain West Conference and will join the Pac-12 Conference beginning in the 2026-2027 season. The Aggies’ long-standing tradition of athletic and academic excellence is exemplified by recent Mountain West regular-season and tournament championships in women’s volleyball, three consecutive Mountain West tournament titles in women’s soccer conference championships, and a first-ever conference championship for gymnastics, reflecting USU's commitment to perseverance and achievement.

Utah State is dedicated to fostering a community where all individuals feel respected, valued, and supported and where diversity of thought and culture are cultivated. We seek to recruit, hire, and retain people from all walks of life who will champion excellence in education, research, discovery, outreach, and service. We believe that promoting a strong sense of community and belonging empowers and engages all members of USU to thrive and be successful. Forbes recognized our commitment to employees when they named Utah State the best employer in Utah in 2023. Learn more about USU. 

The university provides a Dual Career Assistance Program to support careers for partners who are also seeking employment. Additionally, USU is committed to providing access and a reasonable accommodation for individuals with disabilities. To request a reasonable accommodation for a disability, contact the university’s ADA Coordinator in the Office of Human Resources at (435) 797-0122 or hr@usu.edu. 

*updated 12/2025


In its programs and activities, including in admissions and employment, Utah State University does not discriminate or tolerate discrimination, including harassment, based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy, Title IX, or any other federal, state, or local law.

Utah State University is an equal opportunity employer and does not discriminate or tolerate discrimination including harassment in employment including in hiring, promotion, transfer, or termination based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy or any other federal, state, or local law.

Utah State University does not discriminate in its housing offerings and will treat all persons fairly and equally without regard to race, color, religion, sex, familial status, disability, national origin, source of income, sexual orientation, or gender identity. Additionally, the University endeavors to provide reasonable accommodations when necessary and to ensure equal access to qualified persons with disabilities.

In all circumstances, Utah State University follows state and federal laws related to sex-segregated spaces.

The following individuals have been designated to handle inquiries regarding the application of Title IX and its implementing regulations and/or USU’s non-discrimination policies:

Matthew Pinner

Executive Director

Civil Rights & Title IX Office

matthew.pinner@usu.edu

435-797-1266 | Old Main Rm. 401D

1475 Old Main Hill, Logan, UT 84322

Cody Carmichael

Title IX Coordinator

cody.carmichael@usu.edu

435-797-1266 | Old Main Rm. 402D

1475 Old Main Hill, Logan, UT 84322

For further information regarding non-discrimination, please visit crtix.usu.edu or contact:

U.S. Department of Education

Denver Regional Office

303-844-5695| OCR.Denver@ed.gov

U.S. Department of Education

Office of Assistant Secretary for Civil Rights

800-421-3481 |  OCR@ed.gov

*updated 10/2025


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