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Remote Statistical Programmer Jobs in Utah (NOW HIRING)

Kiongroup

Simulation Engineer

Salt Lake City, UT · On-site +1

$65K - $140K/yr

... remote work. This role involves building and evaluating simulation models that contribute to the ... Configure, complete, and lead simulation scenarios, experiments, and statistical runs. * Interpret ...

UnitedHealth Group

Credit Risk Analyst

Draper, UT · On-site +1

Bachelor's degree in Finance, Accounting, Economics, Statistics, Engineering or related field * 2 ... remote work Preferred Qualifications: * Credit risk experience in a consumer or healthcare ...

Inside Real Estate

Senior Data Analyst

Murray, UT · On-site +1

$80K - $101K/yr

The ideal candidate will combine strong statistical knowledge with business acumen to drive product ... Strong proficiency in data analysis tools such as SQL and programming languages such as Python or R ...

Zanskar

Senior Machine Learning Scientist

Salt Lake City, UT · On-site +1

$88K - $121K/yr

Salt Lake City, UT, Hybrid (3 days in office, 2 days can be remote) Benefits Eligible: Yes Manager ... Translate scientific and engineering questions into well-defined learning and decision problems ...

Zanskar

Senior Machine Learning Scientist

Salt Lake City, UT · On-site +1

$88K - $121K/yr

Salt Lake City, UT, Hybrid (3 days in office, 2 days can be remote) Benefits Eligible: Yes Manager ... Translate scientific and engineering questions into well-defined learning and decision problems ...

All JobsRemote Statistical Programmer JobsRemote Statistical Programmer Jobs in Utah

Remote Statistical Programmer information

See Utah salary details

$76.9K

$134.1K

$226.7K

How much do remote statistical programmer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote statistical programmer in Utah is $134,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $145,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Statistical Programmer, and why are they important?

To thrive as a Remote Statistical Programmer, you need strong proficiency in statistics, data analysis, and programming languages like SAS or R, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software, clinical trial data standards (such as CDISC), and regulatory submission requirements is often necessary. Attention to detail, problem-solving ability, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies ensure high-quality data analysis, regulatory compliance, and seamless teamwork in a remote environment.

How do Remote Statistical Programmers typically collaborate with cross-functional teams despite working remotely?

Remote Statistical Programmers often work closely with biostatisticians, data managers, and clinical research associates using collaborative tools such as video conferencing, project management platforms, and secure data-sharing systems. Regular virtual meetings are scheduled to discuss project progress, address data or programming issues, and align on analysis plans. Clear documentation and version control are essential to ensure seamless teamwork and maintain data integrity. Effective communication skills and proactive updates help bridge the physical distance and contribute to successful project outcomes.

What is the difference between Remote Statistical Programmer vs Clinical Data Analyst?

AspectRemote Statistical ProgrammerClinical Data Analyst
Required CredentialsBachelor's/Master's in Biostatistics, Statistics, or related field; programming skills in SAS, R, or PythonBachelor's/Master's in Statistics, Data Science, or related; strong analytical and statistical skills
Work EnvironmentRemote or office-based, collaborating with biostatistics teams in clinical trialsRemote or on-site, analyzing clinical data to support study outcomes
Employer & Industry UsagePharmaceuticals, biotech, CROs, clinical research organizationsPharmaceuticals, healthcare, research institutions, CROs

Remote Statistical Programmers focus on programming and data management for clinical trials, while Clinical Data Analysts interpret and analyze clinical data. Both roles require strong statistical skills and often work in similar environments within the healthcare and pharmaceutical industries, but their core responsibilities differ.

What Does a Remote Statistical Programmer Do?

As a remote statistical programmer, you use programming techniques to produce useful data sets from raw data. In this role, you may evaluate the programming needs of each project, use validation techniques to ensure the accuracy of all data sets your programs make, and manage both a database and the operating environment of your software. Remote statistical programmers often work from home and collaborate with other programmers through video calls, voice chat, or remote office software. This job is also known as SAS, which stands for statistical analysis system programming, and companies may advertise under either title.

What is a remote statistical programmer?

A remote statistical programmer is a professional who uses statistical software and programming languages to analyze data, typically for research, clinical trials, or business insights, while working from a location outside of a traditional office environment. They are responsible for managing, cleaning, and organizing large datasets, and for developing programs that generate statistical analyses and reports. Remote statistical programmers often collaborate with statisticians, data scientists, and project teams using online communication tools. This role requires strong skills in programming languages such as SAS, R, or Python, and attention to detail when handling complex data. Working remotely provides flexibility but also requires good time management and communication skills.
More about Remote Statistical Programmer jobs
What are the most commonly searched types of Statistical Programmer jobs in Utah? The most popular types of Statistical Programmer jobs in Utah are:
What are popular job titles related to Remote Statistical Programmer jobs in Utah? For Remote Statistical Programmer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Statistical Programmer jobs in Utah look for? The top searched job categories for Remote Statistical Programmer jobs in Utah are:
What cities in Utah are hiring for Remote Statistical Programmer jobs? Cities in Utah with the most Remote Statistical Programmer job openings:
Remote Statistical Programmer jobs near you

Simulation Engineer

Kiongroup

Salt Lake City, UT • On-site, Remote

$65K - $140K/yr

Full-time

Posted 11 days ago

Job description

Dematic is hiring a Simulation Engineer for one of our hubs-Grand Rapids (MI), Atlanta (GA), Plano (TX), or Milwaukee (WI)-offering a hybrid schedule blending on-site collaboration and remote work. This role involves building and evaluating simulation models that contribute to the invention of automated and material-handling systems before they are implemented. You'll convert data into relevant insights, support project and customer decisions, and assist in delivering solutions that improve both performance and reliability. Success in this position comes to those who enjoy solving sophisticated problems, analyzing data, and partnering across teams to produce practical, high-impact outcomes.
We are unable to support Visa sponsorship or transfer for this role.We offer:What We Offer:

  • Career Development

  • Competitive Compensation and Benefits

  • Pay Transparency

  • Global Opportunities


Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer/
Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The base pay range for this role is estimated to be $65,000 - $140,000 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.

Tasks and Qualifications:What You Will Do in This Role:

  • Develop discrete-event simulation models to evaluate the performance of material-handling and automated systems.

  • Support pre-sales and delivery activities by crafting low- to high-fidelity simulation models and conducting performance analysis.

  • Collaborate with engineering, sales, project management, and other partners to define requirements, scope, and timelines.

  • Collect, validate, and analyze data while detailing model assumptions and functional specifications.

  • Configure, complete, and lead simulation scenarios, experiments, and statistical runs.

  • Interpret simulation outputs and clearly communicate results to internal teams and customers.

  • Contribute to customer-facing presentations and technical reviews to support solution recommendations.

  • Deliver assigned tasks on schedule, meeting quality and budget expectations.

  • Explain technical concepts in a clear and accessible way for both technical and non-technical audiences.

  • Exercise good judgment when working with customer, confidential, or proprietary information.

  • Support continuous improvement of simulation tools, standards, processes, and methodologies.

What We're Looking For:

  • Solid understanding of discrete-event simulation concepts, methods, and standard processes.

  • Ability to apply statistical and quantitative analysis to simulation problems.

  • Experience with material-handling systems, logistics, or automated solutions (preferred).

  • Proficiency in at least one structured programming language (e.g., Python).

  • Experience with simulation tools such as Plant Simulation (AutoMod experience is a plus).

  • Familiarity with AutoCAD or 3D modeling tools is helpful.

  • Demonstrated ability to learn new tools, technologies, and methods.

  • Strong understanding of simulation modeling principles and approaches.

  • Bachelor's degree or Master's degree or equivalent experience in Engineering, Computer Science, Operations Research, Industrial Engineering, or a related technical field.

  • Proven experience in simulation model development, system modeling, or performance analysis.

  • Typical experience range: 2-5+ years, depending on role level and validated capability.

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