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Scientific Programmer Jobs in Utah (NOW HIRING)

Adobe

Data Science Engineer

Lehi, UT · On-site

$107K - $129K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... Analyze data toidentifyor resolve operational problems to create processes to reverse engineer ...

KIHOMAC

CNC Programmer

Layton, UT · On-site

$67K - $85K/yr

Provide support to either Project Manager or mid-level/junior Engineering/Science personnel in the areas of scheduling, data gathering/limited analyses preparation of technical/project reports, test ...

KIHOMAC

CNC Programmer

Layton, UT · On-site

$67K - $85K/yr

Provide support to either Project Manager or mid-level/junior Engineering/Science personnel in the areas of scheduling, data gathering/limited analyses preparation of technical/project reports, test ...

KIHOMAC

CNC Programmer

Layton, UT · On-site

$67K - $85K/yr

Provide support to either Project Manager or mid-level/junior Engineering/Science personnel in the areas of scheduling, data gathering/limited analyses preparation of technical/project reports, test ...

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Scientific Programmer information

See Utah salary details

$10

$36

$65

How much do scientific programmer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for scientific programmer in Utah is $36.29, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $52.31 per hour, depending on experience, location, and employer.

What is a scientific programmer?

Scientific programmers are professionals who develop, implement, and optimize software solutions for scientific research and data analysis. They work closely with scientists and researchers to translate complex scientific problems into computational algorithms, scripts, and tools. Their work often involves programming in languages like Python, C++, or R, and may include tasks such as data processing, simulation, modeling, and visualization. Scientific programmers play a crucial role in advancing research by making scientific computations more efficient and reproducible.

What does a scientific programmer do?

The duties of a scientific programmer are to design a variety of tools for researchers to perform statistical and mathematical modeling on large datasets. They often work within a specific framework or software, and their responsibilities are to script tools that make it easier for scientists to use the programs or models. Their duties may include designing a new user interface or creating shell scripts for the UNIX or Linux operating systems. A scientific programmer also conducts code review and quality assurance tasks to ensure that programs are ready to be used. Qualifications include a bachelor’s degree in computer science, bioinformatics, or computational biology. If you want to specialize in a particular discipline, you may need additional experience or advanced qualifications.

What are the key skills and qualifications needed to thrive as a scientific programmer, and why are they important?

To thrive as a Scientific Programmer, you need a solid background in computer science, mathematics, or a related field, along with strong programming skills in languages like Python, C++, or R. Familiarity with scientific computing libraries (such as NumPy, SciPy), data analysis tools, and version control systems like Git is typically required, and experience with high-performance computing or parallel processing is a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills that distinguish top performers in this role. These skills and qualities are crucial for developing reliable, efficient code to support complex scientific research and for collaborating effectively within multidisciplinary teams.

How does a scientific programmer typically collaborate with researchers and other technical staff on projects?

Scientific Programmers often work closely with research scientists, data analysts, and IT teams to develop and optimize software tools for scientific studies. They participate in project meetings to understand research goals, translate scientific requirements into code, and troubleshoot issues that arise in computational workflows. Effective communication and teamwork are essential, as Scientific Programmers must ensure their solutions align with both technical standards and the scientific objectives of the research team.

What is the difference between Scientific Programmer vs Data Analyst?

AspectScientific ProgrammerData Analyst
Required CredentialsBachelor's or higher in Computer Science, Physics, or related fields; programming skillsBachelor's or higher in Statistics, Data Science, or related fields; analytical skills
Work EnvironmentResearch labs, scientific institutions, academia, industry R&DBusiness, finance, healthcare, marketing sectors
Employer & Industry UsageResearch organizations, universities, scientific companiesCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding technical roles in scientific computingAnalyzing data to inform decisions

Scientific Programmers focus on developing software and algorithms for scientific research, often working with complex simulations and data modeling. Data Analysts interpret data sets to generate insights and support decision-making. While both roles require strong programming skills and analytical thinking, Scientific Programmers are more involved in software development for scientific purposes, whereas Data Analysts focus on data interpretation and reporting.

Is scientific programming a good career?

Scientific programming is a viable career that involves developing software for research, data analysis, and simulation in scientific fields. It requires strong programming skills, knowledge of scientific concepts, and often proficiency in languages like Python, C++, or MATLAB. The demand for scientific programmers is steady in academia, industry, and government research organizations.
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Scientific Programmer jobs near you
Infographic showing various Scientific Programmer job openings in Utah as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 15% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $75,487 per year, or $36.3 per hour.

Data Science Engineer

Adobe

Lehi, UT • On-site

$107K - $129K/yr

Full-time

Posted 23 days ago

Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

39th of 244 rated software companies

Job description

The Challenge

In Adobe finance, we strive to introduce thefinanceof the future! We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ground-breaking, predictive techniques for forecastingcustomer retention metrics, units,andARR. This role is fitting for an individual who enjoys working with,cleaningand manipulating large datasets, and can derive insights using statistical and machine learning models. This positionmaintainslots of exposure to cross functional organizations and access to senior management.

Whatyou'lldo

A Finance Data Scientist withinAdobe'sCreativity & ProductivityFP&A (Financial Planning and Analysis)teampartners withfinance and businessstakeholders tounderstand, andthendevelop and enhance the existingor proposedforecastingprocess,optimizingand refining byleveragingautomation andAI/ML techniques.

This rolehasthe opportunity topresentandshowcasefindings and improvements to senior leadership, which is unique for this type of role infinanceorganizations.

In our team,we'recommitted to delivering actionable insights in a manner that isaccurateand efficient. This rolerepresentsan end-to-end data scientist involved in everyfacetof every project such as data cleaning, predictive modeling, and storytelling. The typical day involves the following activities:

  • Drive data science modeling initiatives for forecasting and analysis

  • Automate, enhance, andmaintainanalytic applications and data structures used for modeling and forecasting

  • Monitor weekly performance, understand the root causes of changes in metrics, and continually keep an eye on how to continuously "Create the Future" and further enhance forecast algorithms

  • Work with the PowerBI team to deliver requirements to create andmaintaindashboards tracking key indicators

  • Partner with Financeand otherteamsto build data science models to solve a wide breadth of businesschallenges

  • Analyze business or financial data to provide insights to the finance leadership team on process & system automation opportunities

  • Analyze data toidentifyor resolve operational problems to create processes to reverse engineer existing data flows and source-to-target mappings and work with data engineering teams to implement changes.

  • Prepare analytical reports to document financial models and data processes.

  • Demonstrate strong intellectual curiosity towards enhancing current methodologies and processes

  • Capture, synthesize, and interpret disparate quantitative data within the context of businessobjectives,identifytrends, and explore data through segments and cohorts

  • Be a change agent, ensuring users adopt new and innovative technologies

What you need to succeed

  • Strongproficiencyin SQL andPython;R is a plus.

  • Experience indata cloudplatform(eg.Databricks,AWS, Snowflake)

  • Understanding of machine learning techniques, specifically involving supervised learning applied to time-series analysis

  • Proficiencywith data visualization tools (e.g.Power BI, Tableau)

  • Experience exploringlarge amountsof information, extracting insights, and achieving real-world results

  • Ability to dig-in, understand the data, and to use creative thinking and problem-solving skills aremusts

  • History of deriving and communicating actionable insights from analysis projects to product and/or business leaders

  • Degree ina quantitative fieldlike statistics, economics, applied math, operations research or engineering preferred, or related work experience

  • Knowledge of Microsoft Office, specifically Power Query, M/DAX is a plus

  • Understanding of Version Control frameworks such as GitHub is a plus

  • Knowledge of customer cancellation forecasting and cohort retentionis a plus

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $133,100 -- $236,400 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $163,200 - $236,400 In Washington, the pay range for this position is $157,900 - $228,575

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

What Adobe employees say

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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982

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