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Remote R Programming Jobs in Connecticut (NOW HIRING)

The Hartford

Data Scientist

Hartford, CT · On-site +1

$90.16K - $135.24K/yr

Our team is a cross-functional team of data scientists, data engineers, and actuaries working in a ... This role can have a Hybrid or Remote work arrangement depending on experience and skillset.

Milliman

Client Success Manager (MedInsight)

Windsor, CT · Remote

$788/wk

Azure DevOps, Jira * Exposure to Python, R, SQL, or other programming languages This position may ... Location This role is ideally based in Seattle, Washington, but remote work within the United ...

ggi

Commercial Analytics Senior Manager

Brookfield, CT · Remote

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Our team of researchers and engineers continue to lead innovation in sustainable energy and ...

ggi

Commercial Analytics Senior Manager

Brookfield, CT · Remote

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Our team of researchers and engineers continue to lead innovation in sustainable energy and ...

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153.20K - $229.80K/yr

Partner with Actuarial, Data Engineering, and other modeling organization teams to connect modeling ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

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How much do remote r programming jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote r programming in Connecticut is $117,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $132,700.00 per year, depending on experience, location, and employer.

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 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.
More about Remote R Programming jobs
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What cities in Connecticut are hiring for Remote R Programming jobs? Cities in Connecticut with the most Remote R Programming job openings:
Remote R Programming jobs near you
Lead Statistical Programmer - Global Studies (Remote)

Lead Statistical Programmer - Global Studies (Remote)

Penfield Search Partners

Fairfield, CT • Remote

Other

Posted 29 days ago

Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates We are seeking a highly experienced Statistical Programmer to lead programming activities across global clinical studies. This role operates beyond executional programming, with responsibility for oversight of CRO deliverables, validation of outputs, and end-to-end accountability for statistical programming packages. Key Responsibilities Lead statistical programming activities across global studies (EU and China exposure preferred) Serve as primary programming lead in collaboration with Biostatistics Develop, review, and validate SDTM and ADaM datasets in accordance with CDISC standards Review specifications and proactively challenge inconsistencies in protocols, SAPs, and dataset definitions Validate program outputs and ensure accuracy, quality, and regulatory compliance Provide oversight and guidance to CRO partners, consolidating and communicating feedback effectively Manage timelines, delivery packages, and milestone commitments Contribute to continuous improvement of programming processes and standards Core Requirements Strong expertise in CDISC standards, including ADaM and SDTM Demonstrated experience reviewing specs and ensuring high-quality, submission-ready deliverables Working experience in LSAF environment Experience validating CRO programming deliverables Ability to operate with increased performance accountability and ownership Strong CRO-facing communication and collaboration skills Proven ability to manage multiple global studies simultaneously Qualifications Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field 5+ years of SAS programming experience within pharmaceutical/biotech Strong understanding of statistical methods used in clinical trial analysis Knowledge of Good Programming Practices and GCP Preferred Experience with R programming Additional Requirements Hands-on experience with LSAF - Life Sciences Analytical Framework Practical experience with multiple imputation (MI), particularly under Missing at Random (MAR) assumptions Familiarity with the estimands framework (ICH E9 R1) and managing intercurrent events (ICEs) within ADaM domains using various strategies

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