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Internship R Statistical Programmer Jobs in Amherst, MA

Technical Assistant II (UMATC)

Amherst, MA ยท On-site

$36K - $43K/yr

Utilize SQL and other analytical tools (e.g., R, Python, GIS) to query, manage, and analyze large ... engineering, human factors, data science, public health, statistics, regulatory, public policy ...

Data Science Tutor

Northampton, MA ยท Remote

$18 - $40/hr

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 ...

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 Aug 4, 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 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.

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 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.

Manufacturing Quality Engineer

Smith & Wesson Brands, Inc.

Springfield, MA โ€ข On-site

$59K - $80K/yr

Full-time

Re-posted 29 days ago


Job description

Develops and implements optimal, cost-effective quality manufacturing processes and methods in accordance with product specifications and quality standards. Recommends and implements improvements to production processes, training, methods and controls. Coordinates manufacturing launch for new or revised products. Priorities include process improvement, problem resolution, project management and employee training.

Pay Range: $59,440.00 - $80,600.00

Essential Duties and Responsibilities:

  • Drive company to identify and establish quality management systems based in prevention, utilizing capability studies, process FMEA, SPC, DoE, CoV, gage R&R, and other quality tools
  • Assist in the qualification of new manufacturing processes and equipment
  • Be fully capable of recognizing machine, tool, & fixture issues and communicate suggestions to engineering
  • Conduct print reviews and approvals
  • Develop and define supplier product inspection criteria, cosmetic defects and communication of criteria and expectations internally and to the suppliers. Work effectively with the supplier quality engineers
  • Facilitate formal, hands-on Root Cause and Corrective Action activity
  • Create processes and procedures
  • Tabulate and analyze quality data -- Drive change with solid metrics
  • Provide assistance and direction to the inspectors and quality technicians
  • Assist in the processing of first article inspections
  • Assists with internal process and gage audits
  • Work to eliminate hard gauging through the use of statistical process controls

Education and Experience:

  • Bachelor's degree in mechanical, manufacturing, quality, or materials engineering
  • Three to five years of prior related Manufacturing and Quality Assurance experience is required

Competencies and Skills:

  • A genuine belief in continuous improvement and disciplined processes, with a willingness to analyze, challenge and change processes, if needed, to create a more efficient environment and culture. Must also understand how to communicate these transformational changes to a diverse workforce and management
  • Expertise with all Statistical Process Control; Six Sigma experience is highly desirable
  • Extensive knowledge of metrology
  • Strong, proven problem-solving skills
  • Proficient with Microsoft Office applications and statistical software
  • Good Communication skills - Strong and well-developed interpersonal skills
  • Ability to present data to management in an effective manner
  • Specific experience in drawing interpretation and standards (GD & T)
  • Strong organizational and time management skills accompanied with a proactive mindset
  • Knowledge, understanding, and experience with general industrial processes, such as machining, casting and molding.
  • Knowledge of metallurgy a plus

Physical Demands:

Standing, sitting, stooping and squatting can be expected along with lifting or with other means transfer of tooling, parts, containers and raw materials. Lifting requirement of 30 Lbs. Specific vision abilities required may include close vision, distance vision, peripheral and depth perception and ability to focus

Personal Protective Equipment:

  • Safety glasses with side shields when on factory floor
  • The use of additional personal protective equipment (PPE) may be required when a job task(s) is being completed in or around your assigned department or in another department, this includes safety eyewear, hearing protection, and safety footwear
  • All employees are required to apply ergonomic correctness to all job tasks
  • May be required depending on position:
    • Annual vision update in Medical Department
    • Involvement in the hearing conservation program
    • Involvement in the lead surveillance program
    • Wearing of safety certified shoes/boots
    • Participation in the stretching program

Work Environment:

The performance of this position normally requires exposure to typical manufacturing areas that under certain conditions may require the use of personal protective equipment such as Safety Glasses with Side Shields and hearing protection. Primary environment: Temperature of work area may be affected by outside temperatures and machining. Industrial lighting provided.

Revised 10/29/2025