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Junior R Statistical Programmer Jobs in Michigan

A2 Ai

Statistical Programmer

Ann Arbor, MI · On-site

$75 - $110/hr

Develop and maintain programming code using R and/or SAS to create, validate, and QC clinical ... Bachelor's degree in quantitative sciences, biostatistics, statistics, engineering, data science ...

MMS

Study Design Statistician (Remote)

Canton, MI · On-site

Our experienced statisticians and programmers develop intellectual property and assets to support ... Experience in SAS and/ or R statistical software packages. * Experience in study design and ...

CAD Engineering Resources

CMM Programmer

Detroit, MI · On-site

$30/hr

CMM Programmer - Detroit, Michigan Day Shift Position: Monday-Friday 6:00am-2:00pm, overtime and ... GD&T * Blueprint Reading * Statistics (SPC) * Gage R & R * Visual Defects & Audits * Work ...

Basin Holdings

CMM Programmer

Sturgis, MI · On-site

... from engineering drawings and CAD models to develop inspection programs using Polyworks and or ... Practical knowledge of statistical process control, including Process Capability and Gage R&R ...

Basin

CMM Programmer

Sturgis, MI · On-site

The need to work from written and oral instructions, engineering drawings and specifications to ... Practical knowledge of statistical process control, including Process Capability and Gage R&R ...

SAPA Transmission

CMM Operator/Programmer

Utica, MI · On-site

... R), and basic statistical quality methods preferred. * Aerospace manufacturing or Aerospace ... Ability to work independently and effectively with Manufacturing, Engineering, and Quality teams.

Posted today

SAPA Transmission

CMM Operator/Programmer

Utica, MI · On-site

... R), and basic statistical quality methods preferred. * Aerospace manufacturing or Aerospace ... Ability to work independently and effectively with Manufacturing, Engineering, and Quality teams.

Posted today

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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 Michigan?

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

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

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

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

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

Junior R Statistical Programmer jobs near you

Statistical Programmer

Ann Arbor, MI • On-site

A2 Ai
See more jobs at A2 Aiexternal

$75 - $110/hr

Other

Posted 7 days ago

Job description

  • Generate and validate CDISC SDTM and ADaM datasets related to noncompartmental analysis (NCA), including PC/PP, ADPC, ADPP, and other relevant domains.
  • Develop submission-ready datasets that comply with CDISC standards, implementation guides, and controlled terminology.
  • Perform dataset validation using Pinnacle 21 (Community and/or Enterprise) and resolve validation findings to ensure regulatory compliance.
  • Prepare and maintain Define-XML packages and supporting metadata for regulatory submissions.
  • Develop and maintain programming code using R and/or SAS to create, validate, and QC clinical datasets.
  • Perform quality control (QC) of datasets, programming outputs, and submission documentation to ensure accuracy, completeness, and consistency with source data.
  • Support regulatory submissions to agencies such as the FDA, PMDA, and EMA by producing high-quality, submission-ready datasets and documentation.
Requirements
  • Bachelor’s degree in quantitative sciences, biostatistics, statistics, engineering, data science, or similar field. Master’s degree preferred.
  • Experience generating and validating CDISC SDTM and ADaM NCA domains (e.g., PC/PP, ADPC, ADPP, and related datasets).
  • Proficiency with Pinnacle 21 (Community and/or Enterprise) for validation.
  • Proficiency with R or SAS.
  • Experience preparing or reviewing Define-XML (define packages) for regulatory submissions.
  • Strong understanding of CDISC standards, controlled terminology, and implementation guides.
  • Experience supporting regulatory submissions (FDA, PMDA, or EMA) is preferred.
  • Strong attention to detail and ability to work independently in a collaborative environment.
  • This position is ideal for someone with hands-on experience in clinical data standards who can efficiently produce submission-ready datasets and associated documentation for NCA analyses.
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