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Remote R Programmer Jobs in North Haven, CT (NOW HIRING)

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 ...

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 ...

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Remote R Programmer information

See North Haven, CT salary details

$79.6K

$123.3K

$150.2K

How much do remote r programmer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for remote r programmer in North Haven, CT is $123,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,400.00 and $138,800.00 per year, depending on experience, location, and employer.

What is a Remote R Programmer job?

A Remote R Programmer is a professional who develops, analyzes, and optimizes data-driven solutions using the R programming language while working remotely. They typically handle statistical modeling, data visualization, and automation for various industries such as healthcare, finance, and research. This role often requires proficiency in R packages, data manipulation, and possibly integration with other tools like SQL or Python. Remote R Programmers collaborate with teams through virtual communication and use cloud-based or local development environments.

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

A Remote R Programmer requires strong proficiency in R programming, data analysis, and statistical modeling, typically backed by a degree in computer science, statistics, or a related field. Familiarity with tools like RStudio, version control systems (e.g., Git), and experience with relevant data visualization or reporting libraries are commonly expected. Excellent problem-solving skills, self-motivation, and effective communication are crucial for remote collaboration and project delivery. These competencies ensure the programmer can independently develop, deploy, and maintain analytical solutions while contributing effectively to distributed teams.

What does a typical day look like for a Remote R Programmer?

A typical day for a Remote R Programmer involves writing and testing R scripts, analyzing large datasets, creating data visualizations, and preparing reports for team review. You may have regular check-ins or stand-up meetings with data scientists, project managers, or stakeholders to discuss project progress and address any technical challenges. Collaboration often occurs via digital communication platforms, with an emphasis on documenting code and sharing updates regularly. The remote nature of the role requires self-discipline, clear communication, and proactive problem-solving to ensure project goals are met efficiently.
Infographic showing various Remote R Programmer job openings in North Haven, CT as of May 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $123,344 per year, or $59.3 per hour.
Lead Statistical Programmer - Global Studies (Remote)

Lead Statistical Programmer - Global Studies (Remote)

Penfield Search Partners Ltd

Fairfield, CT • Remote

Full-time

Posted 11 days ago


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 ownershipStrong 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 withLSAF- 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 #J-18808-Ljbffr