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R Developer Jobs in Massachusetts (NOW HIRING)

Java, Python, R, C#, C, SAS, analytic engines, Hadoop, parallelized analytic algorithms, and NoSQL ... Experience with the Map Reduce programming model and technologies such as Hadoop, Hive, and Pig is ...

Lead Engineer

Boston, MA ยท On-site

$111K - $146K/yr

Our flagship AI platform, [R]AIMS (Raft AI Mission System), enables operators and engineers to rapidly build, deploy, and govern AI-powered mission workflows across highly dynamic operational ...

Lead Engineer

Boston, MA ยท On-site

$111K - $146K/yr

Our flagship AI platform, [R]AIMS (Raft AI Mission System), enables operators and engineers to rapidly build, deploy, and govern AI-powered mission workflows across highly dynamic operational ...

Test Engineer-Photonics

Bedford, MA ยท On-site

$88K - $134K/yr

Advise and support manufacturing engineering with the implementation and auditing of * gauge R&R and SPC procedures to ensure test reliability and consistency. * Conduct necessary qualification of ...

Full-Stack Developer (Java)

Boston, MA ยท On-site

$57 - $73.50/hr

... Developer Boston, MA Contract Only US Ciitizens / GC Holders At least 7 years of experience in ... Keen Mathematical background and experience in using Python and/or Matlab and/or R is a strong plus.

Project Engineer

Lowell, MA ยท On-site

$90K - $130K/yr

Work directly with S&R Corporation Superintendent and Project Team and assist with overall ... Provide technical engineering information and assists in establishment of work plans and submittals ...

Showing results 41-60

R Developer information

See Massachusetts salary details

$15

$53

$97

How much do r developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for r developer in Massachusetts is $53.88, according to ZipRecruiter salary data. Most workers in this role earn between $28.89 and $73.51 per hour, depending on experience, location, and employer.

What is an R developer?

An R Developer is a professional who specializes in using the R programming language for statistical analysis, data visualization, and developing data-driven applications. R Developers often work in fields like data science, bioinformatics, finance, and research to process and interpret complex data. Their responsibilities include writing efficient R code, building data models, creating visualizations, and sometimes integrating R with other tools or databases. Strong knowledge of R packages such as dplyr, ggplot2, and Shiny is typically required. R Developers may also collaborate with analysts, data engineers, and other stakeholders to deliver insights and solutions.

What is an R developer?

An R developer is a software developer that specializes in the free software environment and programming language know as R. As an R developer, your responsibilities revolve around writing code for data analysis, statistical computing, and modeling. Qualifications are not universal for this career, but you likely need at least an associate degree in computer science. Since there is no formal certification for the R language, you should develop a strong portfolio to showcase your skills. Experience with statistics is also essential for this role. You can find work as an R developer in a variety of industries, but finance is one of the most common.

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

To thrive as an R Developer, you need strong programming skills in R, a background in statistics or data analysis, and typically a degree in computer science, mathematics, or a related field. Familiarity with R packages (like tidyverse, Shiny, and ggplot2), version control systems (such as Git), and experience with databases or cloud platforms are often required. Attention to detail, problem-solving abilities, and clear communication help R Developers translate complex data into actionable insights. These skills are crucial for delivering accurate analyses, building robust data solutions, and collaborating effectively within data-driven teams.

How does an R developer typically collaborate with data scientists and other stakeholders in a project?

R Developers frequently work closely with data scientists, analysts, and business stakeholders to translate analytical requirements into efficient, reliable code. They often participate in team meetings to clarify project goals, review data models, and ensure that the statistical methods used align with business objectives. Regular communication and code reviews are common, as is the sharing of reproducible scripts and documentation to facilitate collaboration. This team-oriented environment helps ensure that analytical solutions are both technically sound and actionable for decision-makers.

What is the difference between R Developer vs Data Analyst?

AspectR DeveloperData Analyst
Primary RoleDevelops and maintains data analysis tools and scripts using RAnalyzes data to generate reports and insights using various tools, including R
Skills & CertificationsProficiency in R programming, data manipulation, statistical analysisData visualization, statistical analysis, proficiency in Excel, SQL, R
Work EnvironmentData science teams, software development projects, tech companiesBusiness units, marketing, finance, consulting firms
Industry UsageUsed in data science, analytics, and software developmentUsed in business intelligence, reporting, and decision-making

While both R Developers and Data Analysts work with data and R programming, R Developers focus on creating data tools and software, whereas Data Analysts primarily interpret data to provide insights. The roles often overlap, but their core responsibilities differ based on technical development versus data interpretation.

Are R developers in demand?

R developers are in high demand in data analysis, statistics, and data science fields due to their expertise in statistical programming and data visualization. Organizations across industries such as finance, healthcare, and technology seek R skills for data-driven decision making, often requiring knowledge of related tools like RStudio and packages such as ggplot2 and dplyr.

What are popular job titles related to R Developer jobs in Massachusetts?

For R Developer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching R Developer jobs in Massachusetts look for?

The top searched job categories for R Developer jobs in Massachusetts are:

What are popular job titles related to R Developer jobs in MA?

For R Developer jobs in MA, the most frequently searched job titles are:

Infographic showing various R Developer job openings in Massachusetts as of August 2026, with employment types broken down into 85% Full Time, 2% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $112,060 per year, or $53.9 per hour.

Software Engineer/Developer

Mackenzie Health Care

Wakefield, MA โ€ข On-site

Full-time

Re-posted 25 days ago


Job description

Company Description
Company Description
Great talent is both rare and valued....... the ability to recognize great talent is even more rare!
One premise remains constant, even with the technological advances over the past half-century: It takes Tier-1 Leadership & Talent to build Strong, Successful Organizations! That's where Mackenzie comes in.
Mackenzie was founded in 1992 to grow strong LifeScience, Animal Science, HealthCare and Technology companies with their most important asset - Talent, and to become the preeminent consulting firm in our space. Those goals have been accomplished time and time again as Mackenzie has been recognized simultaneously and in consecutive years (Business Journal Book of lists) as the Mid-Atlantics top firm. Along the way we have completed thousands of searches from the Boardroom to the C-Suite, and from the Sales Field to the Scientific Bench on both the Business and Manufacturing sides of an organization. Mackenzie has expanded Start-ups and Conglomerates locally, regionally, and nationally and filled just about every position in the organizational matrix.
Job Description
Software Engineer/Developer
This company needs someone to fill their Quantitative Catastrophe Model Developer position that will plan, design, develop, test, and debug modeling applications and services using Python. In this position, you will be responsible for helping to improve the application development process and ensuring adherence to the proper standards and process as well as participate in and guide modeling application architectural decisions.
You will be called upon to: work with other Modelers to covert complex business requirements into technical designs; assist in the planning and monitoring of critical modeling systems within the production environment, and work with other Modelers to develop in-house catastrophe models. You will be expected to explain and or simplify highly complex concepts to others and management.
Other tasks include:
* Be responsible for software development, testing, and maintenance of the models within a catastrophe modeling application using Python (Numpy), C and SQL.
* Be able to assist in the definition of and compliance with technical architectural standards on application as well as services development.
* Be able to work either individually or in small groups with other developers and provide solutions where there may not be detailed requirements.
* Understand the problems/aims, scope the requirements and design and implement the solution in an agile development environment.
Qualifications
* Numerate Bachelor's Degree (e.g. Mathematics, Physics, Engineering) or equivalent experience in Mathematics or Computer Science.
* A minimum of 3 years application development using Python and Numpy; alternatively prior experience working with in an object oriented language and extensive demonstrable experience with one of the following: MATLAB, R, S+ or Octave. An equivalent language may also be acceptable.
Abilities to include:
*Experience of working with matrixes and arrays/vectors. (Understanding dimensional matrix operations and manipulations).
*Stochastic simulation experience (in the area of pricing financial instruments)
*Have SQL experience as well as an understanding of XML and XSLT processing and manipulation
Pluses for consideration would include:
Understanding of insurance principles.
Prior experience working with AIR, RMS or EQE models
Catastrophe simulations
Prior exposure to natural catastrophe hazard modeling
Additional Information
Salary: 95k + DOE sorry, no sponsors at this time
Email: Elaine.MackenzieSearchGroup@gmail.com
www.MackenzieSearchGroup.com