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Computational Scientist Jobs in Utah (NOW HIRING)

micro1 AI

Computational Biologist - AI Reviewer

Provo, UT · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next ...

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Computational Scientist information

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$46K

$101.4K

$125.2K

How much do computational scientist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for computational scientist in Utah is $101,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $124,700.00 per year, depending on experience, location, and employer.

What is a computational scientist?

A Computational Scientist uses advanced computing techniques, algorithms, and simulations to solve complex scientific and engineering problems. They work across various fields, such as physics, biology, chemistry, and engineering, developing models and running simulations to analyze large datasets. Their role often involves programming, data analysis, and collaboration with domain experts to gain insights and make predictions.

What does a computational scientist do?

A typical day for a Computational Scientist may involve developing and running computer simulations, analyzing large datasets, or creating algorithms to address complex scientific problems. You might spend time coding, troubleshooting computational models, collaborating with researchers or engineers, and documenting your findings. The work often involves both independent problem-solving and teamwork within multidisciplinary groups. Additionally, presenting results, preparing research papers, or contributing to grant proposals could be regular tasks, depending on your specific employer and industry. This dynamic role offers a blend of technical challenges and opportunities for innovation.

What skills and qualifications are needed to thrive as a computational scientist?

To thrive as a Computational Scientist, you need strong analytical skills, advanced knowledge of mathematics and computer science, and typically a graduate degree in a quantitative field such as physics, engineering, or computer science. Familiarity with programming languages like Python, R, or C++, experience with high-performance computing, and tools such as MATLAB or scientific visualization software are vital. Excellent problem-solving abilities, collaboration, and effective communication skills make someone stand out in this position. These skills are crucial for developing models, analyzing complex data, and communicating scientific insights to interdisciplinary teams.

What are the career paths in computational science?

Computational scientists can pursue career paths in academia, industry, or government research, often specializing in areas like data analysis, modeling, or simulation. They may advance to senior scientist, research director, or interdisciplinary roles, and typically develop skills in programming, statistical analysis, and domain-specific knowledge. Certifications in programming languages or data management can enhance career progression.

What are the most commonly searched types of Computational Scientist jobs in Utah?

The most popular types of Computational Scientist jobs in Utah are:

What are popular job titles related to Computational Scientist jobs in Utah?

For Computational Scientist jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Computational Scientist jobs in Utah look for?

The top searched job categories for Computational Scientist jobs in Utah are:

What cities in Utah are hiring for Computational Scientist jobs?

Cities in Utah with the most Computational Scientist job openings:

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For Computational Scientist jobs in UT, the most frequently searched job titles are:

Computational Scientist jobs near you
Infographic showing various Computational Scientist job openings in Utah as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $101,363 per year, or $48.7 per hour.

Computational Biologist - AI Reviewer

micro1 AI

Saint George, UT • On-site, Remote

$90 - $120/hr

Part-time

Posted 21 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

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