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Junior R Statistical Programmer Jobs in Utah (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT · On-site

$77K - $202K/yr

... guiding junior team members - Upholding standards in project deliverables - Building and ... Statistics - 2 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g ...

Moxtek

X-ray Manufacturing Technician, Level II

Orem, UT · On-site

$50K - $60K/yr

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

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Junior R Statistical Programmer information

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 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 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.
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Infographic showing various Junior R Statistical Programmer job openings in Utah as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 67% In-person, and 33% Remote job distribution.

Senior Data Scientist

V-Work Infotech Solutions INC

Salt Lake City, UT • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary

We are seeking a highly experienced Senior Data Scientist with 10–15+ years of experience in designing, developing, and deploying advanced machine learning and AI solutions. The ideal candidate will have strong expertise in statistical modeling, predictive analytics, machine learning, Generative AI, and large-scale data analysis. This role requires close collaboration with business stakeholders, data engineers, software engineers, and product teams to deliver data-driven solutions that drive business value.

Key Responsibilities
  • Design, develop, and deploy machine learning and deep learning models.
  • Build predictive, classification, clustering, recommendation, and forecasting models.
  • Analyze large, structured and unstructured datasets to extract actionable insights.
  • Develop and optimize data science pipelines for scalable production deployment.
  • Collaborate with Data Engineers to prepare high-quality datasets for modeling.
  • Work with Product Managers and business stakeholders to identify AI and analytics opportunities.
  • Develop Generative AI solutions using Large Language Models (LLMs).
  • Fine-tune and evaluate foundation models using modern AI frameworks.
  • Build NLP, Computer Vision, and recommendation system solutions where applicable.
  • Perform feature engineering, model selection, hyperparameter tuning, and model evaluation.
  • Deploy models using MLOps best practices.
  • Present findings and recommendations to technical and executive stakeholders.
  • Mentor junior data scientists and contribute to AI best practices.

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