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Remote R Programming Jobs in Boston, MA (NOW HIRING)

NorthEastern

Temporary Analyst

Boston, MA · Remote

$38/hr

This is a part-time, remote position requiring 20 hours per week. The ideal candidate will be experienced in R programming, have a strong foundation in biostatistics or epidemiology, and demonstrate ...

Boydcorp

Associate Engineer

Woburn, MA · On-site +1

... Assist in R & D activities as required. Assist in other tasks as assigned. Boyd offers a ... Boyd is an Equal Opportunities Employer All Job Posting Locations (Location) Woburn Remote Type On ...

Boyd

Associate Engineer

Woburn, MA · On-site

... Assist in R & D activities as required. • Assist in other tasks as assigned. Boyd offers a ... Boyd is an Equal Opportunities Employer All Job Posting Locations (Location) Woburn Remote Type On ...

RINA

Senior Structural Engineer

Boston, MA · On-site +1

$108K - $147K/yr

Remote options from other US locations may be considered. Compensation Data $140,000 - $180, 000 commensurate with experience and education. Bonus Eligible Mission The Senior Structural Engineer ...

Jj

Manager, Data Science - Oncology

Cambridge, MA · On-site +1

Proficiency in data engineering tools such as Python, R and SQL for data processing as well as ... Proven record leading improvement initiatives with multi-disciplinary and remote partners.

eClinical Solutions

Senior Data Engineer

Mansfield, MA · On-site

$104K - $130K/yr

Familiarity with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure ... for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards ...

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Remote R Programming information

See Boston, MA salary details

$86.9K

$134.7K

$164K

How much do remote r programming jobs pay per year?

As of Jun 24, 2026, the average yearly pay for remote r programming in Boston, MA is $134,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,900.00 and $151,600.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks a Remote R Programmer might work on?

Remote R Programmers often work on projects involving data cleaning, statistical modeling, and creating data visualizations for business or scientific insights. They may be responsible for developing automated data workflows, building predictive models, or generating reproducible reports using R Markdown or Shiny dashboards. Additionally, remote work usually requires frequent collaboration with data scientists, analysts, or cross-functional teams via virtual meetings and project management platforms. This role allows you to contribute to diverse industries, ranging from healthcare to finance, and offers opportunities to continuously expand your technical expertise.

What is a Remote R Programming job?

A Remote R Programming job involves using the R programming language for data analysis, statistical modeling, and visualization while working from a remote location. Professionals in this role may work in fields such as data science, finance, healthcare, or research. Tasks often include data cleaning, building predictive models, and generating reports using R packages like ggplot2, dplyr, and tidymodels. Remote R programmers typically collaborate with teams through online communication tools and version control systems like Git. This role requires strong analytical skills and the ability to work independently while delivering data-driven insights.

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

To thrive as a Remote R Programmer, you need strong proficiency in R programming, data analysis, and statistics, typically supported by a degree in a quantitative field such as computer science, statistics, or data science. Familiarity with version control systems like Git, data visualization libraries (e.g., ggplot2), and experience with cloud-based collaboration tools is highly valued. Excellent communication skills, self-motivation, and the ability to work independently are important soft skills for remote success. These competencies ensure that you can efficiently deliver high-quality analytical solutions and collaborate with distributed teams.

What are the most commonly searched types of R Programming jobs in Boston, MA? The most popular types of R Programming jobs in Boston, MA are:
What are popular job titles related to Remote R Programming jobs in Boston, MA? For Remote R Programming jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote R Programming jobs in Boston, MA look for? The top searched job categories for Remote R Programming jobs in Boston, MA are:
Remote R Programming jobs near you
Infographic showing various Remote R Programming job openings in Boston, MA as of June 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $134,713 per year, or $64.8 per hour.
Associate Director, Real World Evidence (RWE) Science

Associate Director, Real World Evidence (RWE) Science

Ubertal Inc

Waltham, MA • Remote

Contractor

Posted 8 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.