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R Statistics Jobs in Vermont (NOW HIRING)

Green Mountain Transit

Transit Data Analyst

Burlington, VT · On-site

$53K - $63K/yr

Must have demonstrated experience processing and analyzing data using statistical programming languages such as R (tidyverse) and/or Python (pandas). * Must have demonstrated experience creating data ...

Brattleboro Retreat

Controller

Brattleboro, VT · On-site

$100K - $161K/yr

... R, A/P including tax, yearly and monthly closings, cash management, and implementation and ... Identifies, collects, and reports relevant statistical data to reflect the activities of the ...

University of Chicago Library

Lab Manager

Hyde Park, VT

$21.79 - $28.20/hr

... g., R, Qualtrics). * Strong interest in research and deep engagement with our lab's research questions. * Basic quantitative research training and strong willingness to learn advanced statistical ...

LIS Solutions

DHS Program Manager

Williston, VT

Produce weekly statistical reports and monthly status packages; lead corrective action plans * Security, Privacy, and Policy Compliance * Serve as liaison with OPR-PSU and Corporate Security Officer ...

Vishay

Process Engineer

Bennington, VT · On-site

$75K - $95K/yr

Strong understanding of statistical process control (SPC) and lean manufacturing principles ... F.R. 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee ...

All JobsR Statistics JobsR Statistics Jobs in Vermont

R Statistics information

See Vermont salary details

$39.9K

$130.5K

$208.9K

How much do r statistics jobs pay per year?

As of Aug 7, 2026, the average yearly pay for r statistics in Vermont is $130,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $144,600.00 per year, depending on experience, location, and employer.

What types of projects or data sets might I work with as an R statistics professional?

As an R Statistics professional, you may work with a wide range of projects and data sets, including customer behavior analytics, health outcomes research, financial modeling, or experimental and survey data. Your daily responsibilities could include cleaning and transforming raw data, developing predictive models, running statistical tests, and generating reports or visualizations to share findings with clients or internal teams. Project scopes often depend on the industry, but collaboration with data engineers, business analysts, and subject matter experts is common to ensure analyses address real-world business challenges. Working with diverse data sets sharpens your ability to adapt your analytical approach and broadens your domain expertise, supporting continuous career development.

What jobs can I get with R Statistics?

With R Statistics skills, you can pursue roles such as data analyst, data scientist, statistical programmer, or research analyst. These jobs typically require proficiency in data manipulation, statistical modeling, and visualization using R, often alongside knowledge of related tools like SQL or Python.

Can you do statistics in R?

R is a popular programming language for statistical analysis and data visualization, widely used by statisticians and data analysts. R provides extensive libraries and functions for performing various statistical tests, modeling, and data manipulation, making it a core skill for many data-related jobs. Proficiency in R often involves understanding statistical concepts and experience with data cleaning and visualization tools.

What are the key skills and qualifications needed to thrive in the R statistics position, and why are they important?

To thrive as an R Statistics professional, you need a solid understanding of statistical methods, data analysis, and proficiency in R programming, often supported by a degree in statistics, mathematics, or a related field. Familiarity with tools like RStudio, database management systems, and relevant data visualization libraries is highly beneficial, and certifications such as R programming certifications or data analytics courses can enhance employability. Critical thinking, problem-solving, and strong communication skills are essential for interpreting complex data and conveying insights to diverse stakeholders. These skills enable you to derive actionable conclusions from data, support business decision-making, and ensure robust, reproducible analysis processes.

What is an R statistics?

An R Statistics job involves using the R programming language for data analysis, statistical modeling, and visualization. Professionals in this role work with datasets to derive insights, create reports, and develop predictive models. Common industries include healthcare, finance, academia, and technology. Key skills include proficiency in R, data manipulation, statistical techniques, and knowledge of machine learning or data science concepts.

What are popular job titles related to R Statistics jobs in Vermont? For R Statistics jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching R Statistics jobs in Vermont look for? The top searched job categories for R Statistics jobs in Vermont are:
R Statistics jobs near you
Infographic showing various R Statistics job openings in Vermont as of August 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 56% In-person, 11% Hybrid, and 33% Remote job distribution, with an average salary of $130,502 per year, or $62.7 per hour.

Lake Champlain Microbial Ecology and Bioinformatics SRA (Summer 2026 900572)

Middlebury College

Middlebury, VT • On-site, Remote

$15.20/hr

Part-time

Re-posted 6 days ago

Middlebury College rating

7.3

Company rating: 7.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

360th of 616 rated colleges and universities

Job description

This is position is paying $15.20 per hour.

This summer research assistant will work to analyze microbial amplicon, metagenomic, and viromic datasets. This will include dataset QA/QC, descriptive statistics, differential analysis, and working to elucidate meaninful descriptions of microbial communities across three Lake Champlain sites and similarities and differences across sites and between seasons

Core Responsibilities:

  • Utilize R and high performance computing resources for data analysis.
  • Keep detailed records and descriptive code to contribute to data analysis pipeline SOPs.
  • Complete data visualizations of microbial community data toward 1-2 manuscripts for publication.
  • Gain biological understanding of Lake Champlain microbial communities, and how they relate to site and seasonal differences

Requirements

  • Proficient in manipulating data using R and/or Python
  • Have taken one or more of these courses, or their equivalent, BIOL 211, STAT 116, STAT 118, STAT 201, CSCI 321
  • Ideally have taken BIOL 140 and/or BIOL 145, but not required.
  • Self-motivated and organized, good at managing self-directed schedule.
  • Can work remotely, on campus, or a mix of both, for ~40hrs/wk for 8-10 weeks summer 2026

Student Employment Eligibility:

Unless restricted by certain visa status, all students with an active status for the semester are eligible for jobs on campus.

Students on leave or withdrawn are not eligible to work in student employment positions until the semester in which they return. If you are currently withdrawn or on leave you are eligible to be employed in staff positions.

Some may be restricted due to financial aid status. International students (non-resident aliens) may not work off campus unless they have applied for and received work authorization from the United States government. (An F-1 visa does not give work authorization.) Off campus work study positions are available only to U.S. citizens on financial aid with a federal work study component.

Student are not eligible to work remotely from International locations.

Hour Limitations:

All student employees are limited to working no more than 20 hours per week in on campus jobs during the academic year (this includes exam periods). The only exception is when there is a full week when school is not in session. Specifically: February recess, Spring recess, and full weeks of December or summer recess. During these time periods only, students can work up to 40 hours per week. International Students: Visa restrictions prohibit international students from exceeding 20 hours of work per academic calendar week.

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