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Internship R Statistical Programmer Jobs in Amherst, MA

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Staff Scientist I

Holden, MA · On-site

$55K/yr

At Verdantas, we're redefining environmental consulting and sustainable engineering through our use ... statistical analysis, and graphic software platforms, including R, ArcGIS, Microsoft Suite of ...

At Verdantas, we're redefining environmental consulting and sustainable engineering through our use ... statistical analysis, and graphic software platforms, including R, ArcGIS, Microsoft Suite of ...

Showing results 21-25

Internship R Statistical Programmer information

See Amherst, MA salary details

$83.2K

$145.1K

$245.2K

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

As of Sep 14, 2026, the average yearly pay for internship r statistical programmer in Amherst, MA is $145,063.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,100.00 and $157,600.00 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.

Assistant Director of Analytics & Assessment

Amherst, MA • On-site

University of Massachusetts Amherst
Colleges, Universities, and Professional Schools • 10K+ employees

Full-time

Re-posted 12 days ago


Key responsibilities

  • Coordinates and implements data-informed decision-making analytics projects in the Isenberg School of Management.

  • Collects, analyzes, and reports data related to teaching load, overload teaching, admissions, enrollments, classroom utilization, student retention, and faculty utilization.

  • Designs, creates, and maintains data dashboards, databases, and reporting tools to support strategic initiatives and respond to information requests.


University Of Massachusetts Amherst rating

8.4

Company rating: 8.4 out of 10

Based on 28 frontline employees who took The Breakroom Quiz


Job description

Assistant Director of Analytics & Assessment
Job no: 509615
Work type: Staff
Location: Amherst
Categories: Administrative Services, Hybrid, School of Management, Isenberg, Full Time, PSU A
Title: Assistant Director of Analytics & Assessment
Executive Area: Academic Affairs
College/School/MBU: Management
Department: Dean - Isenberg School
Work Location: Amherst
Schedule: Full Time
Work Arrangement: Hybrid
Job Summary
The Assistant Director of Analytics and Assessment assists with the coordination and implementation of data-informed decision-making analytics projects in the Isenberg School of Management (ISOM). The position is responsible for cultivating and communicating insights from data to facilitate decision-making, support program planning, support analytics-driven effectiveness and efficiency initiatives, and contribute to the rankings of Isenberg School of Management (ISOM). The position assumes primary responsibility for the collection, organization and analysis of information related to teaching load reporting to senior leadership and university administration.
Essential Functions
Teaching Load Reporting and Data Management
Leads, collects and analyzes data and shares insights on teaching load and overload teaching information for reporting to senior leadership and university administration.
Maintains and updates teaching load and overload reports every Fall and Spring semester. Works directly with faculty to ensure teaching load data are collected, updated, and continuously reviewed. Ensures teaching load data are accurate, consistent and collected in a timely manner.
Maintains confidentiality and adheres to data security policies.
Attends university trainings and workshops as needed to stay up to date on reporting requirements.
Analytics and Additional Data Management
Designs, creates, and implements insightful data dashboards, databases and other reporting tools to support key strategic initiatives and ad-hoc requests for monitoring of admissions standards, enrollments, classroom utilization, student retention, student completion-rates, and faculty utilization.
Assists with data retrieval and submissions for external rankings of undergraduate and graduate programs. Supports the reporting of progress and performance on School strategic initiatives to the University Office of Institutional Effectiveness and public facing audiences.
Works with key stakeholders across ISOM and the University to coordinate and respond to information requests. Ensures effective communication and proper documentation of data sources, standards, and related processes and policies.
Translates success metrics into tracking and reporting requirements. Makes actionable recommendations to business decision-makers based on research and analytical results.
Contributes to required AACSB accreditation surveys and reports including faculty qualification and intellectual contribution tracking and assessment of learning outcomes.
Administrative and Programmatic Duties
Supervises up to 2 student staff and interns.
Collaborates to devise, implement, and improve processes for data gathering and distribution across multiple departments and various channels.
Supports survey assessment design, distribution, and management. Coordinates with Associate Director to plan and implement data trainings for faculty and staff. Coordinates with Associate Director to support the collection of Assurance of Learning data.
Other Functions
Performs related duties as assigned or required to meet department, school, and university goals and objectives.
Minimum Qualifications
Bachelor's degree and three (3) years of experience in business analytics.
Analytically minded with an aptitude for numbers and visualization of data.
Ability to analyze data to support management decisions and improve performance.
Ability to make data digestible to non-technical individuals or teams.
Demonstrated ability to think through problems and apply critical thinking skills.
Excellent accuracy and attention to detail.
Experience with data visualization and dashboard tools such as Tableau.
Independent initiative and willingness to ask questions.
Ability to establish priorities and manage multiple complex projects.
Ability to clearly and confidently communicate project requirements and challenges with teammates
Ability to collaborate and maintain productive relationships on and with cross-functional teams.
Strong skills in all Microsoft Office programs, especially Excel.
Strong commitment to customer service.
Preferred Qualifications
Master's degree in data analytics or related field.
At least one (1) year of experience in higher education or institutional research.
Experience with customer relationship management (CRM) and entity resource planning (ERP) systems, specifically Salesforce and SPIRE.
Programming experience using statistical tools (e.g., KNIME, SAS, R, SPSS).
Ability to learn new technical skills rapidly and independently.
Additional Details
May require occasional travel for meetings and professional development opportunities.
This position is subject to final budgetary and administrative approval.
Working Conditions
Work is performed in a standard office or indoor university environment and involves minimal physical exertion.
Work Schedule and Work Arrangement
Monday - Friday, 8:30 am - 5 pm.
May require work some nights & weekends as pertains to business needs.
This position has the opportunity for a hybrid work schedule, which is defined by the University as an arrangement where an employee's work is regularly performed at a location other than the campus workspace for a portion of the week. As this position falls within the Professional Staff Union, it is subject to the terms and conditions of the Professional Staff Union collective bargaining agreement.
Salary Information
Pay Grade: PSSAP Grade 27
Click here to view the Professional Staff hiring ranges.
Special Instructions for Applicants
Along with the application, please submit a resume. References will be checked at the finalist stage. Please be prepared to provide contact information for three (3) professional references.
This position will remain open for the time period required by any applicable collective bargaining agreement and will continue until a suitable candidate pool is identified. Interested applicants are strongly encouraged to apply early.
Advertised: 04 Aug 2026 Eastern Daylight Time
Applications close: 08 Nov 2026 Eastern Standard Time
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