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Internship R Programming Language Jobs in Boston, MA

You have basic knowledge of a modern programming language (such as, but not limited to, SAS or R programming) and visualization/review tools. * You have a basic understanding of statistical quality ...

Statistician

Boston, MA · Hybrid

$75K - $80K/yr

Proficiency in the R programming language, and the willingness and ability to rapidly develop your programming skills * The technical and mathematical ability, coupled with the written and oral ...

Statistician

Boston, MA · On-site

$75K - $80K/yr

Proficiency in the R programming language, and the willingness and ability to rapidly develop your programming skills * The technical and mathematical ability, coupled with the written and oral ...

... internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language ...

Required : • Professional experience in backend software development (internship, co-op, or ... programming language such as Java, or demonstrated ability to quickly learn new backend ...

Required : • Professional experience in backend software development (internship, co-op, or ... programming language such as Java, or demonstrated ability to quickly learn new backend ...

Required : • Professional experience in backend software development (internship, co-op, or ... programming language such as Java, or demonstrated ability to quickly learn new backend ...

Required : • Professional experience in backend software development (internship, co-op, or ... programming language such as Java, or demonstrated ability to quickly learn new backend ...

Required : • Professional experience in backend software development (internship, co-op, or ... programming language such as Java, or demonstrated ability to quickly learn new backend ...

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Internship R Programming Language information

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How much do internship r programming language jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for internship r programming language in Boston, MA is $18.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.91 per hour, depending on experience, location, and employer.

Is 30 an hour good for an intern?

For an internship involving R programming, a rate of $30 an hour is considered above average in many regions, especially for entry-level or learning positions. Interns typically earn lower wages, but this rate may reflect specialized skills, remote work, or competitive markets; it is important to consider local standards and the internship's scope. Compensation can vary based on industry, location, and the intern's experience level.

What is an Internship in R Programming Language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

What jobs use the R programming language?

Jobs that use the R programming language include data analyst, data scientist, biostatistician, and research scientist roles. These positions often require skills in statistical analysis, data visualization, and familiarity with data management tools. R is widely used in industries such as healthcare, finance, and academia for data analysis and modeling.

What are the key skills and qualifications needed to thrive as an R Programming Language Intern, and why are they important?

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

Is the R programming language in demand?

The R programming language is in demand for data analysis, statistical modeling, and data visualization roles. Many industries such as healthcare, finance, and research seek professionals skilled in R, especially those familiar with data manipulation packages like dplyr and ggplot2. Proficiency in R can enhance job prospects in data science and analytics fields.

Is R in high demand?

R programming language skills are in high demand in data analysis, statistics, and data science roles. Many organizations seek professionals proficient in R for data visualization, statistical modeling, and machine learning tasks, making it a valuable skill for internships and entry-level positions in these fields.

What types of projects or tasks can I expect to work on during an R Programming Language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.
What are popular job titles related to Internship R Programming Language jobs in Boston, MA? For Internship R Programming Language jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Internship R Programming Language jobs in Boston, MA look for? The top searched job categories for Internship R Programming Language jobs in Boston, MA are:
ADS Programmer (Boston, On-Site)

ADS Programmer (Boston, On-Site)

Genentech

Boston, MA • On-site

Full-time

Posted 13 days ago


Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

10th of 71 rated pharmaceutical


Job description

ADS Programmer

Department Summary

This role is in Analytical Data Science, a core function within Product Development Data Sciences (PDD) that provides strategic leadership and scientific rigor across Development at Roche. PDD Analytical Data Science teams are mobilized across the portfolio to generate data-driven insights, identify opportunities for scale, and implement impactful solutions.

PDD Analytical Data Science is recognized as a leading hub for top industry talent, operating as an agile workforce to deliver regulatory commitments across the portfolio. We identify, influence, and adopt industry-leading digital and automation solutions, develop analytical approaches to support exploratory analyses, and align statistical programming practices across both early- and late-stage clinical development.

The Opportunity
The Analytical Data Science Programmer is a key contributor to the clinical study team, responsible for transforming statistical analysis plans into high-quality, traceable programming deliverables. This includes both static and dynamic outputs, such as tables, listings, figures, and interactive data visualizations or dashboards.

The role involves creating and validating datasets in accordance with Study Data Tabulation Model and Analysis Data Model standards, ensuring compliance with regulatory requirements and Roche standards.

In addition to supporting regulatory submissions, the ADS Programmer plays a critical role in generating data insights through platforms such as the Insight Engine, enabling real-time exploration and interpretation of diverse clinical and exploratory data. This role contributes to a modern, insight-driven development environment by facilitating robust, timely, and decision-enabling analytics across clinical programs.

  • You support the development and validation of datasets and statistical outputs for clinical studies, including Study Data Tabulation Model (SDTM) datasets, Analysis Data Model (ADaM) datasets, and tables, listings, and figures (TLFs), by following established internal standards and using validated programming tools.

  • You contribute to the programming and analysis of a broader range of data types, including biomarker and exploratory datasets, to support scientific discovery beyond regulatory submissions.

  • You support exploratory analyses across disease areas and assist in developing visualizations or dashboards for data exploration using interactive applications and data insights platforms.

  • You generate programming deliverables (e.g., TLFs and datasets) under guidance, applying standard macros and functions in line with Roche programming practices.

  • You participate in documentation and quality control activities, contributing to reproducible and accurate outputs and ensuring alignment with programming specifications.

  • You assist in resolving technical issues in code or output by analyzing discrepancies and escalating as needed.

  • You collaborate with senior programmers to understand study requirements and execute assigned programming tasks.

  • You engage in learning activities to grow knowledge of clinical research and programming standards, including developing basic understanding of Clinical Data Interchange Standards Consortium (CDISC) standards.

  • You work under general supervision and apply independent judgment to interpret guidance, prioritize responsibilities, and make decisions in situations that require contextual understanding.

  • You apply judgment to address moderately complex statistical or data issues, balancing scientific rigor with appropriate flexibility, and seek guidance when facing novel or ambiguous situations.

  • You adhere to functional standards by participating in peer review and mentoring relationships to uphold quality and build methodological and programming expertise.

Who you are

  • You hold a Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field.

  • You have a minimum of 2-4 years of experience in statistical programming, or an advanced degree with 0-2 years of equivalent work experience.

  • You have basic knowledge of a modern programming language (such as, but not limited to, SAS or R programming) and visualization/review tools.

  • You have a basic understanding of statistical quality, endpoints, and QC processes.

  • You demonstrate strong logical thinking and attention to data integrity.

  • You bring effective communication and collaboration skills.

  • You demonstrate respect for cultural differences when interacting with colleagues in the global workplace.

  • You are fluent in English.

Preferred Qualifications

  • Expertise in handling and analyzing different types of data (multi-modal) to identify and implement programming/analytical strategy.

  • Familiarity with CDISC standards (SDTM, ADaM).

  • Demonstrated interest and critical thinking in data quality, reproducibility, and continuous learning.

  • Ability to follow technical documentation and contribute to team processes.

  • Effective communication skills with the ability to translate complex statistical concepts for non-statistical audiences.

  • Experience with multiple phases of drug development (early and/or late stage).

  • Excellent communication skills, including the ability to influence and translate complex data for non-technical stakeholders.

Relocation benefits are not available for this posting.

The expected salary range for this position based on the primary location of Massachusetts is $97,100.00 - $180,300.00 USD Annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

#PDDT

#PDDBoston

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.


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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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