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Internship R Statistical Programmer Jobs in Painesville, OH

micro1 AI

Director of Biostatistics

Cleveland, OH · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

micro1 AI

Director of Biostatistics

Cleveland, OH · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

KeyBank

Quant Graduate Intern

Cleveland, OH · On-site

$30/hr

Working knowledge of SAS, R, Python or other advanced statistical/econometric analysis software ... Relational databases and SQL programming * Ability to use advanced statistical and mathematical ...

Materion

2027 Internship Summer Program

Cleveland, OH · On-site

$15 - $27/hr

Process Engineering * Quality / Continuous Improvement * Environmental, Health & Safety ... statistics on applicants. Applicants with disabilities may be entitled to reasonable accommodation ...

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Internship R Statistical Programmer information

See Painesville, OH salary details

$73.7K

$128.4K

$217.1K

How much do internship r statistical programmer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for internship r statistical programmer in Painesville, OH is $128,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $139,500.00 per year, depending on experience, location, and employer.

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 cities near Painesville, OH are hiring for Internship R Statistical Programmer jobs?

Cities near Painesville, OH with the most Internship R Statistical Programmer job openings:

Internship R Statistical Programmer jobs near you

Clinical Research Biostatistician/Data Scientist III, Medicine Administration

Cleveland, OH • On-site

University Hospitals
Health Care and Social Assistance • 10K+ employees
Learn more about University Hospitalsexternal

Full-time

Posted 25 days ago

University Hospitals rating

7.3

Company rating: 7.3 out of 10

Based on 626 frontline employees who took The Breakroom Quiz

Job description

A Brief Overview
Perform advanced-level statistical analysis at all phases of a research project, from protocol development and study design through data analysis and writing up and reporting results
What You Will Do
  • Evaluate research studies, recommend statistical procedures, and prepare statistical plans independently, including, but not limited to, hypothesis tests, regression models, meta-analysis and survival analysis to analyze the data.
  • Prepare comprehensive statistical reports to communicate findings with investigators. Prepare statistical components of presentations, abstracts, study protocols, and manuscripts.
  • Describe statistical methods and results to fellow biostatisticians/methodologists as well as to broader audiences with less statistical expertise such as research faculty and staff.
  • Program and create datasets using SAS, R, SQL or Python; combine multiple raw data sets, execute data cleaning and quality control procedures, and derive analytic variables as a data scientist. Perform complex programming using advanced options in SAS procedures and macros, or R/SQL/Python features
  • Serve on institutional committees such as the DSMB (Data Safety Monitoring Board), and create and present biostatistics education sessions
  • Lead and supervise team of biostatisticians and data scientists and manage assigned projects. Mentor and train junior staff, including delegating assignments and providing project guidance as needed
  • Provide expertise and guidance to investigators at all phases of the research process, from protocol development to study design, dataset analysis, interpretation and publication of results.
Additional Responsibilities
  • Learn new statistical methods independently as needed.
  • Performs other duties as assigned.
  • Complies with all policies and standards.
  • For specific duties and responsibilities, refer to documentation provided by the department during orientation.
  • Must abide by all requirements to safely and securely maintain Protected Health Information (PHI) for our patients. Annual training, the UH Code of Conduct and UH policies and procedures are in place to address appropriate use of PHI in the workplace.

Qualifications:
Education
  • Master's Degree in a research or related field involving statistical analyses (Required) or
  • Doctorate Degree (Required)

Work Experience
  • 5+ years experience in research and statistical analysis (Required) and
  • Record of successful publication history (Required)

Knowledge, Skills, & Abilities
  • Ability to prioritize the work of multiple projects.
  • Experience in a team setting. (Preferred proficiency)
  • Knowledge of GCP and FDA guidelines.
  • Demonstrate ability to multi-task independently and manage time effectively.
  • Ability to understand and communicate statistical analyses and results to others.
  • Computer and programming skills: Word, Excel, and a statistical programming language such as SAS, R, Python or SQL.

Licenses and Certifications
  • Certification in Human Subjects Protection (CITI) (Required Upon Hire)

Physical Demands
  • Standing Occasionally
  • Walking Occasionally
  • Sitting Constantly
  • Lifting Rarely up to 20 lbs
  • Carrying Rarely up to 20 lbs
  • Pushing Rarely up to 20 lbs
  • Pulling Rarely up to 20 lbs
  • Climbing Rarely up to 20 lbs
  • Balancing Rarely
  • Stooping Rarely
  • Kneeling Rarely
  • Crouching Rarely
  • Crawling Rarely
  • Reaching Rarely
  • Handling Occasionally
  • Grasping Occasionally
  • Feeling Rarely
  • Talking Constantly
  • Hearing Constantly
  • Repetitive Motions Frequently
  • Eye/Hand/Foot Coordination Frequently

Travel Requirements
  • 10%

What University Hospitals employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About University Hospitals

Sourced by ZipRecruiter

For more than 155 years, University Hospitals has been on a mission to heal, teach and discover. As a renowned academic medical center and community hospital network, we’ve expanded across Northeast Ohio to deliver what matters most to our patients: personalized, compassionate care; medical discovery and breakthroughs; and high-quality, affordable care close to home.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1866

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