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Internship R Statistical Programmer Jobs in Painesville, OH

Swagelok Company

Quality Engineer

Solon, OH

$66K - $86K/yr

Collect and assess statistical capability data to ensure compliance of products, processes and ... Coordinate and analyze gauge R&Rs. * Design and analyze component capability study information on ...

Avon Protection

Quality Supervisor

Cleveland, OH

Strong statistical amp; analytical skills, and attention to detail * Experience with statistical ... R * Excellent written and verbal communication skills, and ability to deliver in fast paced and ...

Avon Protection

Quality Supervisor

Cleveland, OH

... the Quality Engineering team, ensuring that Quality is systematically, proactively, and ... Strong statistical & analytical skills, and attention to detail * Experience with statistical ...

Epicor

Principal Data Scientist

Solon, OH · Hybrid

You will guide data scientists and analytics engineers, shape the technical architecture of ML ... Conduct research, perform advanced statistical and ML modeling, and drive the frontend analytics ...

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All JobsInternship R Statistical Programmer JobsInternship R Statistical Programmer Jobs in Painesville, OH

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 Jun 23, 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 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 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 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 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
Managed Services - Data Engineer - Experienced Associate

Managed Services - Data Engineer - Experienced Associate

Pwc

Cleveland, OH

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th of 57 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Associate

Job Description & Summary

The Opportunity
As a Managed Services - Data Engineer - Experienced Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data & Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
In this role at PwC, you will apply a learning mindset and take ownership of your development, appreciating diverse perspectives and adopting habits to sustain performance. You will actively listen, ask questions to check understanding, and clearly express ideas. You will gather information from various sources to analyze facts and discern patterns, committing to understanding how the business works and building commercial awareness. This position offers a dynamic environment where every experience is an opportunity to learn and grow, allowing you to build a brand for yourself and open doors to more opportunities.
Responsibilities
- Developing and implementing data-driven solutions to optimize business performance and enhance competitive advantage (data engineering, ETL)
- Leveraging advanced analytics techniques to provide strategic insights and drive informed decision-making for clients (SQL optimization)
- Building and maintaining data pipelines to support efficient data collection and analysis (DataStage)
- Utilizing business intelligence tools such as Oracle Business Intelligence and QlikView to create comprehensive reports and dashboards (DB2, SQL Server)
- Collaborating with team members to gather and analyze data from various sources to discern patterns and trends (star schemas, dimensions)
- Applying data architecture development skills to design and maintain robust database management systems (snowflake models)
- Engaging in continuous process improvement to enhance data quality and integrity
- Supporting client engagement by actively listening and responding to diverse perspectives and needs (regulated environments)
- Participating in the development of business cases and market development strategies through data analysis and interpretation
- Adapting to a fast-paced environment and taking ownership of tasks to consistently deliver quality work (job scheduling, UNIX)
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
- Demonstrating proficiency in Python and Java programming languages
- Utilizing data visualization tools like QlikView and Spotfire
- Developing business intelligence solutions using Oracle BI
- Engaging in data architecture development and management
- Applying macroeconomic and microeconomic analysis skills
- Excelling in data analysis and interpretation techniques

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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