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Work From Home Data Analyst R Programming Jobs in Boston, MA

... the data flow from data collection to data submission. Using expertise in R programming and ... analysis, and reporting of clinical trials' data * Ability to work effectively and successfully in ...

WORK FROM HOME

Cambridge, MA · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

Data Analyst (Health care Domain) Location: Canton, MA - 100% Remote Position Overview Hiring for ... Support ETL processes, data integrations, and data-engineering initiatives. * Create technical ...

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Work directly with internal stakeholders and, where appropriate, clients to understand needs and ...

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Work directly with internal stakeholders and, where appropriate, clients to understand needs and ...

Sales Representative Work From Home Must be authorized to work in the US, no work visas offered at this time Organization Description: We are currently seeking highly motivated individuals, with a ...

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Work From Home Data Analyst R Programming information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

How much do work from home data analyst r programming jobs pay per year?

As of Aug 24, 2026, the average yearly pay for work from home data analyst r programming in Boston, MA is $89,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 per year, depending on experience, location, and employer.

What is a work from home data analyst R programming?

A Work From Home Data Analyst specializing in R Programming analyzes data, builds statistical models, and generates insights using R while working remotely. This role often involves data cleaning, visualization, and reporting to support business decisions. Analysts collaborate with teams via virtual tools and may work with databases, machine learning, and automation. Strong R programming skills, analytical thinking, and communication abilities are essential for success in this role.

What does a typical workday look like for a work from home data analyst R programming?

A typical day for a Work From Home Data Analyst using R involves extracting and cleaning datasets, running statistical analyses, and creating data visualizations to support business decisions. Communication with team members is often done via video calls, emails, or collaborative project management tools, ensuring everyone stays aligned despite the physical distance. You may spend part of your day troubleshooting code, optimizing data workflows, or preparing reports for stakeholders. This role allows for flexibility but also requires strong self-management to meet deadlines and deliver high-quality analytical results. Regular interaction with cross-functional teams helps you stay engaged and involved in broader company objectives.

What are the key skills and qualifications needed to thrive as a work from home data analyst R programming?

To thrive as a Work From Home Data Analyst R Programming, you need a strong understanding of data analysis, statistical concepts, and proficiency in R, often backed by a degree in statistics, mathematics, computer science, or a related field. Familiarity with data visualization tools, SQL databases, and relevant certifications such as Certified Analytics Professional or courses in R programming are highly beneficial. Effective communication, problem-solving skills, and the ability to work independently are essential soft skills for remote collaboration. These competencies ensure you can analyze complex datasets accurately, deliver actionable insights, and contribute effectively to distributed teams.

What job categories do people searching Work From Home Data Analyst R Programming jobs in Boston, MA look for?

The top searched job categories for Work From Home Data Analyst R Programming jobs in Boston, MA are:

Infographic showing various Work From Home Data Analyst R Programming job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $89,780 per year, or $43.2 per hour.

Senior R Statistical Programmer

Cytel

Cambridge, MA • On-site, Remote

Full-time

Re-posted 9 days ago


Job description


The R Technical Solutions Programmer is responsible for implementing the vision for data and analysis infrastructure platforms and other technical solutions to support the data flow from data collection to data submission. Using expertise in R programming and clinical trials to create solutions that will enable an open-source ecosystem for programming. This role will coordinate gathering and prioritizing requirements in the process of design and delivery of fit-for-purpose data and analysis technical solutions.
Responsibilities
  • Collaborates with internal teams to understand requirements and develop processes, tools and utilities that will improve quality and efficiency
  • Develops reusable and robust R package code and/or utilities, along with detailed training/documentation
  • Promotes technical innovation to drive the development of data analysis and visualization solutions within a clinical data environment
  • Partners with study teams in use and further improvement of processes and tools
  • Facilitates change management activities and training for department systems and processes

Qualifications
  • Minimum 5 years' industry experience (Pharma, Biotech, CRO)
  • Experience with R within regulated clinical development environments
  • Strong R data manipulation and analysis skills using standard tidyverse packages
  • Strong R visualization skills for use in static outputs and dashboards
  • Experience with developing R packages including proper documentation and testing
  • Experience developing SAS code including SAS/MACRO preferred
  • Familiarity with Posit products including Workbench, Positron, and Connect
  • High attention to detail including proven ability to manage multiple, competing priorities
  • Familiarity with drug development life cycle and experience with manipulation, analysis, and reporting of clinical trials' data
  • Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners