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Junior R Statistical Programmer Jobs in Utah (NOW HIRING)

These teams typically include statisticians, computer scientists, software developers, engineers ... R, Python) Demonstrated skill at data cleansing, data quality assessment, and using analytics for ...

... Engineer- Senior Manager, you will play a pivotal role in transforming raw data into actionable ... In this role, you will engage in exploratory and descriptive analysis, statistical modeling, and ...

Experience with statistical analysis software like JMP, R, or Minitab (preferred). Education and Experience: * Associate degree in Electronics, Mechanical Engineering Technology, or related field ...

X-ray Manufacturing Engineer II (3rd Shift)

Orem, UT · On-site

$63K - $81K/yr

The Manufacturing Engineer II will lead failure analysis and corrective actions for X-ray tube and ... Experience with statistical software such as JMP, R, or Minitab (preferred). * Effective ...

The Manufacturing Engineer II will lead failure analysis and corrective actions for X-ray tube and ... Experience with statistical software such as JMP, R, or Minitab (preferred).Effective communication ...

Senior Manufacturing Engineer

Logan, UT · On-site

$78K - $107K/yr

Apply data analysis, statistical methods, and process capability tools to identify variability ... Define and maintain process control plans, in-process measurements, SPC monitoring, and GR&R ...

Showing results 41-60

Junior R Statistical Programmer information

What is a junior R statistical programmer?

Junior R Statistical Programmers are entry-level professionals who use the R programming language to analyze data, create statistical models, and generate reports, often for research, healthcare, or business purposes. They typically assist senior statisticians or data scientists by cleaning data, writing scripts, and performing basic statistical analyses. Their role helps organizations turn raw data into actionable insights, and they often work as part of a larger analytics or research team.

What are the key skills and qualifications needed to thrive as a junior R statistical programmer?

To thrive as a Junior R Statistical Programmer, you need a solid understanding of statistical concepts, programming proficiency in R, and a bachelor's degree in statistics, mathematics, computer science, or a related field. Familiarity with data management tools like SQL, version control systems such as Git, and statistical analysis packages in R is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with team members and clearly present analytical findings. These competencies ensure accurate data analysis, reproducible results, and successful teamwork within research or business environments.

What are typical challenges a junior R statistical programmer might face when transitioning from academic projects to industry settings?

Junior R Statistical Programmers often find the shift from academic to industry work entails adapting to stricter timelines, code standardization, and collaborative workflows. In industry, you may need to follow specific documentation practices, utilize version control systems like Git, and adapt your code for scalability and reproducibility. Additionally, you’ll frequently collaborate with statisticians, data managers, and project leads, which requires strong communication skills and the ability to incorporate feedback from multiple stakeholders.

What is the difference between Junior R Statistical Programmer vs Data Analyst?

AspectJunior R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentPharmaceutical or clinical research settings, working on data processing and reportingBusiness, marketing, or healthcare sectors analyzing large datasets for insights
CertificationsOften requires a degree in statistics, biostatistics, or related field; certifications like SAS or R preferred

While both roles involve data analysis and R programming, Junior R Statistical Programmers focus more on clinical or research data processing within regulated environments, whereas Data Analysts work across various industries analyzing business data. The roles share skills but differ in context and application.

What are popular job titles related to Junior R Statistical Programmer jobs in Utah?

For Junior R Statistical Programmer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Junior R Statistical Programmer jobs in Utah look for?

The top searched job categories for Junior R Statistical Programmer jobs in Utah are:

What cities in Utah are hiring for Junior R Statistical Programmer jobs?

Cities in Utah with the most Junior R Statistical Programmer job openings:

Infographic showing various Junior R Statistical Programmer job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

X-ray Manufacturing Technician, Level II (SB)

Moxtek

Orem, UT • On-site

Full-time

Re-posted 3 days ago


Job description

Position Purpose/Summary:

The Manufacturing Technician II will support the manufacturing engineering team and production teams in the Braze/Seal areas. The ideal candidate will have some experience in ultra-high vacuum (UHV) manufacturing, brazing, and vacuum oven-based manufacturing processes. Candidate should possess knowledge of cleanroom processing principles, strong problem-solving skills, and experience with root-cause analysis. This technical role will recommend corrective actions in collaboration with design, manufacturing, and quality teams.


Essential Duties:

  • Support the X-ray business unit in the braze/seal area by sustaining current processes, documenting manufacturing practices, and identifying root causes of failures using structured problem-solving methodologies (Fault Tree Analysis, DOE, 8D).
  • Collaborate with engineers and technicians to implement process improvements using corrective action preventive action plans (CAPA).
  • Use data analysis to track and trend failure and scrap data to identify systemic issues in products and equipment.
  • Support scrap cost-reduction initiatives through process and design improvements.
  • Collaborate with the maintenance technicians to track and resolve equipment issues.
  • Under supervision of engineers, support the qualification of new equipment or after the equipment has been modified.
  • Document test results and failure findings in standardized Company reports.

Key Competencies:

To perform the job successfully, the individual should demonstrate the following competencies to perform the essential functions of this position:

  • Strong analytical skills for correlating data, test results, and physical evidence (required).
  • Experience with SPC, DOE, and other statistical analysis methods (required).
  • Experience with statistical analysis software like JMP, R, or Minitab (preferred).
  • Ability to work with cross-function teams to determine causes of product failures and put in place corrective actions to prevent further failures.

Education and Experience:

  • Associate degree in Electronics, Mechanical Engineering Technology, or related field (preferred).
  • 2-4 years of experience in a manufacturing or engineering support role (preferred).
  • Green belt certified (preferred).
  • Familiarity with X-ray systems, vacuum technology, or radiation safety (preferred).
  • Experience with root cause analysis and process improvement.
  • Experience in using oscilloscopes, multimeters, and other diagnostic tools.
  • Ability to read and interpret engineering documentation and BOMs.
  • Self-driven with strong attention to detail and commitment to quality.
  • Excellent communication and documentation skills.

Moxtek logo

About Moxtek

Sourced by ZipRecruiter

Industry

Nanotechnology research and development

Company size

201 - 500 Employees

Headquarters location

Orem, UT, US

Year founded

1986

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