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Internship R Statistical Programmer Jobs in Arizona

MMS

Study Design Statistician (Remote)

Phoenix, AZ · 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 ...

Ping

Test Engineer

Phoenix, AZ · On-site

Internship, co-op, or up to 2 years of directly related experience is preferred. An advanced degree ... Strength in statistical analysis, data analytics, and experimental methods such as DOE and R&R.

Republic Services

Data Scientist I

Phoenix, AZ · On-site

Proficiency with programming in Python or R in data science and/or statistical analysis settings . * Proficiency with relational databases and the ability to write SQL queries. * Proficiency with ...

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Internship R Statistical Programmer information

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 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 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 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.

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:
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Internship R Statistical Programmer jobs near you

Study Design Statistician (Remote)

MMS

Phoenix, AZ • On-site

Full-time

Posted 11 days ago

Job description

Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.
Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn.
As part of our Strategic Statistical Services Arm, this is a full-time role with emphasis on being an internal and external SME for clinical trial design, together with providing consultation to advise clients on a range of broader statistical issues, and will have an internal job title of Strategic Statistician.

Job Description:

Our experienced statisticians and programmers develop intellectual property and assets to support the design and analysis of clinical trials, precision medicine and real-world data analytics. We address the emerging analytics needs of the Industry with our biostatistics services, bespoke algorithms and unique, state of the art, proprietary, cloud-based trial simulation software KerusCloud. Working alongside innovative statisticians you will be responsible for leading the full life-cycle of KerusCloud support and statistical services, from:

  • Assisting customers with their study design with a particular focus on simulation with KerusCloud to ensure they are aligned with the study objectives.
  • Preparation of study protocols and development of Statistical Analysis Plans and Statistical Analysis Reports.
  • Summarize, analyze and visualize study data using a variety of statistical methods, ultimately delivering results to an agreed timeline with optimal quality.
  • Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third-party statistical and programming deliverables.
  • Maintain current knowledge of relevant research techniques such as modelling, simulation and experimental design and participate in continuous professional development activity.
  • Support pre-sales discussions to understand and identify client needs, then contribute to technical solutions and resource/ cost estimates.
  • Collaborate with the Product Development team defining key features and statistical aspects of KerusCloud.
  • Provide input and support to Marketing of KerusCloud, including demonstrations to clients, white papers, etc.

Requirements:

  • Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical component, Masters or PhD preferred.
  • 5-7 years of experience in the application of medical statistics (pharma, CRO, academic).
  • Willingness to engage with clients to understand and research problems and provide creative, business-orientated solutions.
  • Experience in delivering customer projects to high quality standards.
  • Experience in SAS and/ or R statistical software packages.
  • Experience in study design and protocol and report-writing preferred.
  • Experience of modelling and simulation techniques to explore complex study designs preferred.
  • Experience of Bayesian approaches to design and analysis of clinical data preferred.
  • Experience of early-phase drug development processes including innovative/ adaptive study design preferred. 

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About M. M. S.

Sourced by ZipRecruiter

Industry

Pharmaceutical and medicine manufacturing

Company size

1 - 10 Employees

Headquarters location

Los Angeles, CA, US

Year founded

1980

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