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Internship R Statistical Programmer Jobs in Massachusetts

Verisk

Statistical Researcher

Boston, MA

Basic programming proficiency; experience with R or similar statistical programming languages preferred * Excellent written and verbal communication skills, with the ability to present technical work ...

Verisk

Statistical Researcher

Boston, MA · On-site

$90K - $105K/yr

Basic programming proficiency; experience with R or similar statistical programming languages preferred * Excellent written and verbal communication skills, with the ability to present technical work ...

Vrtx

Biostatistics Associate Director (HYBRID)

Boston, MA · Hybrid

$174K - $262K/yr

... drug developer mindset. Knowledge and Skills: * Some prior staff management experience is typical * In-depth competence with SAS and R statistical software * In-depth understanding of advanced ...

Vrtx

Sr. Biostatistician II

Boston, MA · Hybrid

$132K - $198K/yr

Develops a basic knowledge of related disciplines with a drug developer mindset. Knowledge and Skills: * Competence with SAS and R statistical software * Demonstrated understanding of statistical ...

Vertex Pharmaceuticals

Sr. Biostatistician II

Boston, MA · On-site

$132K - $198K/yr

Develops a basic knowledge of related disciplines with a drug developer mindset. Knowledge and Skills: * Competence with SAS and R statistical software * Demonstrated understanding of statistical ...

Cytel

Senior Programmer FSP - RWD/EPI

Cambridge, MA · On-site +1

Programming and conducting statistical analysis under the direction and supervision of ... In addition, SAS or R proficiency is required * Deep expertise analyzing RWE data sources such as ...

Costello Medical

Statistician Intern

Boston, MA · On-site

$54K - $66K/yr

The statistical analyses varies across patient-level clinical trial data, observational study (real ... A good knowledge of programming, with proficiency in R and an understanding of other similar ...

Costello Medical

Statistician Intern

Boston, MA · On-site

$54K - $66K/yr

The statistical analyses varies across patient-level clinical trial data, observational study (real ... A good knowledge of programming, with proficiency in R and an understanding of other similar ...

Costello Medical

Statistician Intern

Boston, MA · On-site +1

$54K - $66K/yr

The statistical analyses varies across patient-level clinical trial data, observational study (real ... A good knowledge of programming, with proficiency in R and an understanding of other similar ...

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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 Massachusetts?

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

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

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

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

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

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

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

Internship R Statistical Programmer jobs near you
Infographic showing various Internship R Statistical Programmer job openings in Massachusetts as of August 2026, with employment types broken down into 10% Internship, 69% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Statistical Researcher

Boston, MA

Verisk
Library and Information Services • 5 - 10K employees
Learn more about Veriskexternal

Full-time

Posted 21 days ago

Verisk rating

7.6

Company rating: 7.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

Job description

hackajob is collaborating with Verisk to connect them with exceptional professionals for this role.

Description

Join Verisk’s Extreme Event Solutions and become part of a growing Research and Modeling Department that sits at the intersection of statistics, data, and real‑world catastrophe risk. As a Statistical Researcher, you’ll work on the Financial and Uncertainty Modeling team in Boston, collaborating closely with statisticians, mathematicians, analysts, and geoscientists to help quantify the financial impact of extreme events around the world.

This role is ideal for someone with a strong quantitative foundation and a genuine desire to learn and grow. You’ll develop deep expertise across a broad set of topics, including catastrophic events and modeled perils, global postal code systems, insurance and policy terms, and probability distributions—while applying those concepts to real insurance claims data. Strong communication skills are key, as you’ll translate technical findings into clear insights for both internal partners and client‑facing teams.

Responsibilities

In this role, you’ll apply your analytical and technical skills to support the development and validation of financial and uncertainty models tied to catastrophic risk. Key responsibilities include:

  • Analyze insurance claims data from catastrophic events such as hurricanes, earthquakes, floods, and severe thunderstorms
  • Test and validate new modeling methodologies by writing code (primarily in R or C++) and running simulations
  • Assess the accuracy and behavior of statistical approaches using data‑driven analysis
  • Document methodologies, assumptions, and results clearly and thoroughly
  • Create concise summaries, visualizations, and presentations to communicate findings
  • Partner with Client Services to help explain methodologies and support responses to client questions

Qualifications

Required qualifications:

  • Graduate degree in a quantitative field such as statistics, mathematics, data science, or a related discipline
  • 2–5 years of professional experience working on data analytics or quantitative projects
  • Strong analytical and quantitative skills with a solid understanding of probability concepts
  • Basic programming proficiency; experience with R or similar statistical programming languages preferred
  • Excellent written and verbal communication skills, with the ability to present technical work clearly
  • Strong time‑management, organizational, and problem‑solving skills

Nice to have:

  • Experience working with insurance claims data, insurance policy conditions, or actuarial concepts
  • Exposure to spatial statistics or catastrophe‑related modeling
  • Familiarity with C++
  • Knowledge or exposure to large language models (LLMs)

#LI-BH1

What Verisk employees say

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About Verisk

Sourced by ZipRecruiter

Verisk is a top-tier data analytics organization based in Jersey City, NJ, US, known for its deep industry knowledge and analytical prowess. Operating in the global risk assessment industry, it provides predictive analytics and decision support solutions to a wide range of industries like insurance, natural resources, financial services, government, and health care. Founded in 1971, Verisk operates on a mission of helping customers make superior decisions to minimize risk. With an organic growth strategy, Verisk offers a diverse portfolio of solutions, like risk assessment and decision analytics, that help businesses understand and manage their risks.

Industry

Library and information services

Company size

5,001 - 10,000 Employees

Headquarters location

Jersey City, NJ, US

Year founded

1971

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