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Internship R Statistical Programmer Jobs in Arizona

Siemens

$22 - $24/hr

... engineering, electrification, automation, and digital powerhouse? Then come join the Finance ... Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics ...

Siemens

$22 - $24/hr

... engineering, electrification, automation, and digital powerhouse? Then come join the Finance ... Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics ...

Siemens

$22 - $24/hr

... engineering, electrification, automation, and digital powerhouse? Then come join the Finance ... Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics ...

Siemens

$22 - $24/hr

... engineering, electrification, automation, and digital powerhouse? Then come join the Finance ... Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics ...

Siemens

$22 - $24/hr

... engineering, electrification, automation, and digital powerhouse? Then come join the Finance ... Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics ...

Siemens

$22 - $24/hr

... engineering, electrification, automation, and digital powerhouse? Then come join the Finance ... Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics ...

New

Axon

Manufacturing Quality Engineer II

Phoenix, AZ · On-site

$71K - $92K/yr

Provide engineering support to Receiving Inspection including Gage R&R studies, MSA, and inspection ... Implement and monitor Statistical Process Control (SPC) systems to drive continuous improvement.

TSMC

Quality Management Engineer

Phoenix, AZ · On-site

$88K - $114K/yr

Applying statistics process control methods to establish and sustain a robust manufacturing process ... Fluency in Python, R, SQL, Power BI, Tableau to programming and visualize data. * Fluent in English ...

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Internship R Statistical Programmer information

What does an internship R statistical programmer do?

An Internship R Statistical Programmer assists with data analysis, statistical modeling, and data visualization using the R programming language. Interns typically work under the supervision of experienced statisticians or data scientists, helping to clean and manage datasets, write scripts and code in R, and generate reports or graphics for research projects or business analyses. This role provides valuable hands-on experience in statistical programming and is often geared towards students or early-career professionals interested in data science or analytics.

What does a typical day look like for an internship R statistical programmer, and how do interns collaborate with other team members?

As an Internship R Statistical Programmer, your typical day involves writing and testing R scripts to process and analyze data, often under the guidance of experienced programmers or statisticians. You'll participate in team meetings, contribute to code reviews, and work closely with data scientists, biostatisticians, or clinical research teams depending on the industry. Collaboration is key, as you'll frequently discuss analysis plans, clarify data requirements, and troubleshoot code alongside others. This role provides hands-on experience with real-world datasets and fosters growth in both technical and communication skills.

What are the key skills and qualifications needed to thrive as an internship R statistical programmer, and why are they important?

To thrive as an Internship R Statistical Programmer, you need a solid background in statistics, programming with R, and data analysis, usually supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with RStudio, data visualization libraries (like ggplot2), and version control systems such as Git is typically expected. Attention to detail, problem-solving ability, and effective communication are vital soft skills that help you interpret data and collaborate with team members. These competencies ensure accurate data processing, meaningful statistical insights, and efficient teamwork on research or business projects.

What is the difference between Internship R Statistical Programmer vs R Statistical Programmer?

AspectInternship R Statistical ProgrammerR Statistical Programmer
Required CredentialsTypically pursuing or recently completed a degree in statistics, biostatistics, or related fieldBachelor's or master's degree in statistics, biostatistics, or related field; professional experience preferred
Work EnvironmentInternship setting, often part-time or temporary, supervised by senior staffFull-time, permanent role within pharmaceutical, biotech, or healthcare industries
Employer & Industry UsageUsed in academic, research, or entry-level industry settingsCommon in clinical research, pharmaceutical companies, and CROs

The main difference between an Internship R Statistical Programmer and an R Statistical Programmer is experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while R Statistical Programmers are full-time professionals responsible for developing and maintaining statistical programming in clinical trials or research projects.

Which internship is best for statistics students?

The best internship for statistics students, including those interested in statistical programming roles like an Internship R Statistical Programmer, typically involves positions in data analysis, research, or data science that offer hands-on experience with statistical software such as R or SAS. These internships often provide exposure to real-world data projects, improve programming skills, and may require familiarity with statistical methods and data visualization tools. Selecting internships at research institutions, healthcare companies, or tech firms can enhance practical knowledge and improve job prospects in the field.

What are the most commonly searched types of R Statistical Programmer jobs in Arizona?

The most popular types of R Statistical Programmer jobs in Arizona are:

What are popular job titles related to Internship R Statistical Programmer jobs in Arizona?

For Internship R Statistical Programmer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Internship R Statistical Programmer jobs in Arizona look for?

The top searched job categories for Internship R Statistical Programmer jobs in Arizona are:

What cities in Arizona are hiring for Internship R Statistical Programmer jobs?

Cities in Arizona with the most Internship R Statistical Programmer job openings:

Internship R Statistical Programmer jobs near you

Sr. R&D Engineer- Relocation Assistance Provided

Innovative Health LLC

Scottsdale, AZ • On-site

$101K - $139K/yr

Full-time

Posted 18 days ago

Job description

The Senior R&D Engineer role is responsible for designing, developing, validating, and implementing various methods and processes, leading and assisting in projects to introduce new products into production. This role is expected to bring unique perspectives and creative solutions to challenges faced during reverse engineering and reprocessing technique development.
Essential Duties and Responsibilities:
• Assist and/or lead in development of new medical device platforms complying with design control process including applicable FDA and ISO requirements.
• Develop, write, and execute test methods.
• Train manufacturing/QC personnel as needed on test methods or manufacturing processes.
• Generate formal test protocols and reports.
• Execute test protocols and conduct bench testing. Document test results per GDP, ISO, and FDA requirements.
• Coordinate and oversee test sample builds. Assist with test sample builds as required.
• Use Solidworks to design test fixtures and devices. (if applicable)
• Design and fabricate test fixtures, tooling and equipment. (if applicable)
• Work with purchasing department to specify and procure capital equipment.
• Serve as a cross-functional team member for various project-related activities.
• Assist or lead process improvement projects to reduce costs.
• Assist with DFMEA and PFMEA risk assessments.
• Compile project status updates and present to senior management.
• Comply with company policies and procedures.
• Maintain project schedule and deliver projects on time.
• Focus on delivering products to support the R&D project pipeline.
• Provide technical leadership to junior engineers and technicians.
Clinical Support Responsibilities:
• Attend clinical cases for learning, device launch, and troubleshooting.
• Interact with clinicians and field personnel to understand clinical needs and provide technical support.
• Develop and maintain a deep understanding of medical device reprocessing techniques, including cleaning, sterilization, and biocompatibility requirements.
• Develop and maintain relationships with key opinion leaders and clinical partners.
Medical Device Reprocessing Responsibilities:
• Develop and optimize reprocessing methods for single-use medical devices.
• Conduct performance, biocompatibility and sterilization testing on reprocessed devices.
• Ensure compliance with all regulatory requirements for medical device reprocessing.
• Participate in cross-functional teams to introduce reprocessed devices into production.
Supervisory Responsibilities:
• Provide mentoring and guidance to other R&D team members, as well as supervise and manage the work of junior engineers.
Education, Qualifications and Skills:
• Minimum education: Bachelor's degree in engineering discipline (or equivalent experience)
• Minimum experience: 7-12 years of experience
• Strong background in R&D with experience in electromechanical medical devices.
• Experience with various types of medical device design verification testing in accordance with FDA regulations: device functional performance, biocompatibility, sterilization, packaging, transportation simulation, real-time and accelerated aging, etc.
• Excellent technical writing skills and substantial experience writing test plans, protocols, and reports.
• Excellent problem-solving skills as well as keen analytical abilities.
• Knowledge of Design Controls, Risk Management, Statistics, Engineering Principles, Test Method Development, Test Method Validation (Gage R&R), and Design Verification / Validation.
• Proficiency in CAD design and drafting (SolidWorks) a plus.
• Ability to work in a fast-paced, collaborative team environment.
• Strong hands-on prototyping skills.
• Self-starter and highly motivated.
• Ability to have fun by motivating and encouraging other team members.

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