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Junior R Statistical Programmer Jobs in Utah (NOW HIRING)

Responsibilities : • Works closely with other Data Scientists, Application Engineering, Product ... Statistics, or Mathematics • Demonstrated competency in R/Python predictive modeling • ...

Strongproficiencyin statistical programming - R, Python, or SAS - for data wrangling, analytics pipelines, and visualization. * Advanced Excel skills including pivot tables, financial modeling, and ...

Biostatisticians

Salt Lake City, UT · On-site

$19.70 - $22/hr

Consult with scientists and engineers to ensure proper use of statistical methodology and interpretation of results. Program statistical software packages (e.g., SAS/STAT, Stata, or R) to improve ...

Biostatisticians

Salt Lake City, UT · On-site

$19.70 - $22/hr

Consult with scientists and engineers to ensure proper use of statistical methodology and interpretation of results. Program statistical software packages (e.g., SAS/STAT, Stata, or R) to improve ...

Senior Data Analyst

Murray, UT · On-site +1

$80.80K - $101.90K/yr

Strong proficiency in data analysis tools such as SQL and programming languages such as Python or R ... statistical and analytical models. * Experience with data visualization and BI tools for creating ...

Industrial Engineer

Salt Lake City, UT

$67.70K - $91.40K/yr

Strong mathematical/statistical analysis skills including statistical analysis and simulation ... SQL/VBA/R/Python/general coding skills strongly preferred * Green or Black Belt Certification, or ...

Strong proficiency in statistical programming - R, Python, or SAS - for data wrangling, analytics pipelines, and visualization. * Advanced Excel skills including pivot tables, financial 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 ...

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 ...

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Junior R Statistical Programmer information

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

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 are Junior R Statistical Programmers?

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 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 May 2026, with employment types broken down into 8% Internship, 53% Full Time, 8% Temporary, and 31% Contract. Highlights an 96% Physical, and 4% Remote job distribution.
Data Scientist

Data Scientist

Waystar

Lehi, UT • On-site

Full-time

Posted 24 days ago


Job description

Job Summary:
Waystar is a company that helps providers simplify healthcare payments and improve financials throughout the revenue cycle. They are seeking an experienced Data Scientist to solve data-driven healthcare problems using machine learning and predictive modeling methods, while collaborating with Product Management and Application teams to maximize operational outcomes.
Responsibilities:
• Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational value.
• Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically based features in core products
• Works on new applications of machine learning and analytic technology within Healthcare, producing quantitative, justifiable results to guide feature planning
• Translates real-world Healthcare problems to mathematical frameworks Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback
• Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role
• Understands, organizes, and communicates succinctly. Familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods
• Complete familiarity with empirical approaches to estimate performance of machine learning models including:  hold-out sets, cross-validation, leave-one-out testing
• Demonstrated competency in R/Python predictive modeling
• Demonstrated competency in RDBMS (e.g. SQL Server)
Qualifications:
Required:
• Bachelor’s degree in the fields of Computer or Data Science, Statistics, or Mathematics
• Demonstrated competency in R/Python predictive modeling
• Demonstrated competency in RDBMS (e.g. SQL Server)
• Must be a quick-learner with the ability to multi-task in a fast-paced environment
• Presentation abilities and the ability to communicate with all levels of the Business
• Comfortable working in ambiguous areas where learning and adaptability are key skills
• Competent communication and interpersonal skills
• Proficient in Microsoft Office applications
• Familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods
• Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing
Preferred:
• Additional experience and/or education in healthcare, business operations or other areas
• An aptitude for medical informatics
Company:
Waystar is a technology platform that provides healthcare revenue cycle management solutions. Founded in 2017, the company is headquartered in Louisville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.