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Remote Data Analyst R Programming Jobs in Boston, MA

MM International

Investment Data Analyst

Boston, MA · Remote

Boston, MA (Remote for good candidate but No PST candidates) Duration: 6+ months Contract Video Interview Note: Looking for a Sr. candidate with strong financial background, should have experience ...

Tillster

Senior Data Analyst

Boston, MA · Remote

$115K - $145K/yr

Proactively identify and investigate data quality issues -- with root-cause evidence -- and partner with Analytics Engineers and Data Engineers to resolve upstream problems promptly. · Write high ...

Citizens

Experiential Marketing Sr Data Analyst

Westwood, MA · On-site +1

$104K - $138K/yr

... Engineering, or Physical Sciences) * 5+ years of professional experience in analytics, plus 1+ year ... Monday - Friday 8-5 4 days in the Westwood MA or Johnston RI office 1 day remote. Pay Transparency ...

Citizens

Experiential Marketing Sr Data Analyst

Westwood, MA · On-site +1

$104K - $138K/yr

... Engineering, or Physical Sciences) * 5+ years of professional experience in analytics, plus 1+ year ... Monday - Friday 8-5 4 days in the Westwood MA or Johnston RI office 1 day remote. Pay Transparency ...

Cytel

Principal Biostatistician FSP

Cambridge, MA · On-site +1

... and data review guidelines; developing statistical analysis plans (SAPs), including analysis ... Good SAS and R programming skills for QCing critical outputs, Efficacy/Safety tables and working ...

DRC Systems

Technical Lead - Data Analysis

Boston, MA · Remote

$50 - $54/hr

Title - Technical Lead - Data Analysis Location - Boston, MA - Remote JD - Key Skills * Advanced ... Strong data modeling skills to support analytics and BI developers * Experience creating custom ...

Varsity Tutors

Data Science Tutor

Newton, MA · 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 ...

Varsity Tutors

Data Science Tutor

Quincy, MA · 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 ...

Varsity Tutors

Data Science Tutor

Waltham, MA · 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 ...

Varsity Tutors

Data Science Tutor

Boston, MA · 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 ...

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All JobsData Analyst R Programming JobsRemote Data Analyst R Programming JobsRemote Data Analyst R Programming Jobs in Boston, MA

Remote Data Analyst R Programming information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

How much do remote data analyst r programming jobs pay per year?

As of Jul 8, 2026, the average yearly pay for remote 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 are the key skills and qualifications needed to thrive as a Remote Data Analyst specializing in R Programming, and why are they important?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.
What are the most commonly searched types of Data Analyst R Programming jobs in Boston, MA? The most popular types of Data Analyst R Programming jobs in Boston, MA are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Boston, MA? For Remote Data Analyst R Programming jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Boston, MA look for? The top searched job categories for Remote Data Analyst R Programming jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Data Analyst R Programming jobs? Cities near Boston, MA with the most Remote Data Analyst R Programming job openings:
Remote Data Analyst R Programming jobs near you
Infographic showing various Remote Data Analyst R Programming job openings in Boston, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $89,780 per year, or $43.2 per hour.
Associate Director, Real World Evidence (RWE) Science

Associate Director, Real World Evidence (RWE) Science

Ubertal Inc

Waltham, MA • Remote

Contractor

Posted 21 days ago

Job description

Job Title: Associate Director, Real World Evidence (RWE) Science – Phase IV / Post-Approval (Contract)

Location: United States (Remote; Eastern Time business hours preferred)
Duration: 7-Month Contract (Full-Time, 40 hours/week)
Start: Targeting Early March 2026

We are seeking an experienced Associate Director, Real World Evidence (RWE) Science to provide coverage for a Phase IV / post-approval RWE portfolio within a global Medical Affairs environment. This is a senior-level individual contributor role requiring deep epidemiology and real-world evidence expertise, strong methodological leadership, and the ability to independently manage ongoing studies with minimal ramp-up.

This position supports global stakeholders, including Europe, and requires flexibility for early morning meetings aligned to EU collaboration.

Key Responsibilities

  • Lead scientific oversight of Phase IV and post-approval real-world evidence (RWE) and observational studies

  • Provide methodological and technical leadership for study design, feasibility assessments, and evidence planning (EU focus)

  • Oversee vendors/CROs conducting outsourced analyses; review protocols, statistical analysis plans, and outputs to ensure scientific rigor

  • Conduct and/or supervise systematic literature reviews (SLRs) and meta-analyses

  • Contribute to development of RWE plans aligned with regulatory, HTA, and post-approval commitments

  • Support retrospective analyses leveraging real-world data sources (claims, EHR, registries)

  • Guide protocol development for observational studies and pragmatic trials

  • Perform evidence reviews to inform regulatory submissions, reimbursement strategy, and medical strategy

  • Collaborate with Regional Medical Affairs on scientific exchange and external RWE engagement

  • Support development of abstracts, posters, manuscripts, and internal scientific communications

Required Qualifications

  • Advanced degree (MD, PhD, or MS) in Epidemiology, Biostatistics, Public Health, or related field

  • 8–10+ years of progressive experience in epidemiology and real-world evidence

  • Minimum 5 years of Pharma or Biotech industry experience

  • Strong expertise in:

    • Phase IV / post-approval epidemiologic study design

    • Retrospective real-world data (RWD) analyses

    • Observational research methodologies

  • Experience overseeing vendors/CROs and critically evaluating statistical methodologies

  • Proficiency with statistical software (R, SAS, Stata) and strong understanding of claims/EHR data structures

  • Demonstrated ability to work autonomously in a global, matrixed environment

  • Flexibility to support EU collaboration across time zones

Preferred Qualifications

  • Experience supporting regulatory or HTA-facing RWE deliverables

  • Vaccines, infectious disease, or public health epidemiology background

  • Experience with systematic literature reviews and meta-analyses

  • R programming skills, including simulations, power calculations, or Shiny applications

  • Experience with data extraction, cleaning, and standardization for RWD

  • Prior authorship of scientific publications and presentations

  • Experience supporting EU feasibility assessments and RWE expectations

Role Highlights

  • Senior-level RWE leadership without people management responsibilities

  • High-visibility Phase IV and real-world effectiveness portfolio

  • Global collaboration with strong EU engagement

  • Remote flexibility within the United States

Qualified candidates with deep RWE and epidemiology expertise, strong methodological grounding, and Phase IV experience in Pharma/Biotech are encouraged to apply.