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Remote Statistical Programmer Jobs in Connecticut

Provide technical leadership across machine learning, statistical modeling, feature engineering, model evaluation, calibration, explainability, and production-ready analytics. * Drive execution ...

Chief Engineer

Pawcatuck, CT ยท On-site +1

This position can potentially be remote based within the United States, or most European Countries ... Ability to apply complex mathematical concepts, including probability and statistical inference ...

Chief Engineer

Pawcatuck, CT ยท On-site +1

This position can potentially be remote based within the United States, or most European Countries ... Ability to apply complex mathematical concepts, including probability and statistical inference ...

Chief Engineer

Pawcatuck, CT ยท On-site +1

This position can potentially be remote based within the United States, or most European Countries ... Ability to apply complex mathematical concepts, including probability and statistical inference ...

Chief Engineer

Pawcatuck, CT ยท On-site +1

This position can potentially be remote based within the United States, or most European Countries ... Ability to apply complex mathematical concepts, including probability and statistical inference ...

Chief Engineer

Pawcatuck, CT ยท On-site +1

This position can potentially be remote based within the United States, or most European Countries ... Ability to apply complex mathematical concepts, including probability and statistical inference ...

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Showing results 1-20

Remote Statistical Programmer information

See Connecticut salary details

$80.4K

$140.1K

$236.9K

How much do remote statistical programmer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote statistical programmer in Connecticut is $140,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $152,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Statistical Programmer, and why are they important?

To thrive as a Remote Statistical Programmer, you need strong proficiency in statistics, data analysis, and programming languages like SAS or R, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software, clinical trial data standards (such as CDISC), and regulatory submission requirements is often necessary. Attention to detail, problem-solving ability, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies ensure high-quality data analysis, regulatory compliance, and seamless teamwork in a remote environment.

How do Remote Statistical Programmers typically collaborate with cross-functional teams despite working remotely?

Remote Statistical Programmers often work closely with biostatisticians, data managers, and clinical research associates using collaborative tools such as video conferencing, project management platforms, and secure data-sharing systems. Regular virtual meetings are scheduled to discuss project progress, address data or programming issues, and align on analysis plans. Clear documentation and version control are essential to ensure seamless teamwork and maintain data integrity. Effective communication skills and proactive updates help bridge the physical distance and contribute to successful project outcomes.

What is the difference between Remote Statistical Programmer vs Clinical Data Analyst?

AspectRemote Statistical ProgrammerClinical Data Analyst
Required CredentialsBachelor's/Master's in Biostatistics, Statistics, or related field; programming skills in SAS, R, or PythonBachelor's/Master's in Statistics, Data Science, or related; strong analytical and statistical skills
Work EnvironmentRemote or office-based, collaborating with biostatistics teams in clinical trialsRemote or on-site, analyzing clinical data to support study outcomes
Employer & Industry UsagePharmaceuticals, biotech, CROs, clinical research organizationsPharmaceuticals, healthcare, research institutions, CROs

Remote Statistical Programmers focus on programming and data management for clinical trials, while Clinical Data Analysts interpret and analyze clinical data. Both roles require strong statistical skills and often work in similar environments within the healthcare and pharmaceutical industries, but their core responsibilities differ.

What Does a Remote Statistical Programmer Do?

As a remote statistical programmer, you use programming techniques to produce useful data sets from raw data. In this role, you may evaluate the programming needs of each project, use validation techniques to ensure the accuracy of all data sets your programs make, and manage both a database and the operating environment of your software. Remote statistical programmers often work from home and collaborate with other programmers through video calls, voice chat, or remote office software. This job is also known as SAS, which stands for statistical analysis system programming, and companies may advertise under either title.

What is a remote statistical programmer?

A remote statistical programmer is a professional who uses statistical software and programming languages to analyze data, typically for research, clinical trials, or business insights, while working from a location outside of a traditional office environment. They are responsible for managing, cleaning, and organizing large datasets, and for developing programs that generate statistical analyses and reports. Remote statistical programmers often collaborate with statisticians, data scientists, and project teams using online communication tools. This role requires strong skills in programming languages such as SAS, R, or Python, and attention to detail when handling complex data. Working remotely provides flexibility but also requires good time management and communication skills.
What are the most commonly searched types of Statistical Programmer jobs in Connecticut? The most popular types of Statistical Programmer jobs in Connecticut are:
What are popular job titles related to Remote Statistical Programmer jobs in Connecticut? For Remote Statistical Programmer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Statistical Programmer jobs in Connecticut look for? The top searched job categories for Remote Statistical Programmer jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Statistical Programmer jobs? Cities in Connecticut with the most Remote Statistical Programmer job openings:
Infographic showing various Remote Statistical Programmer job openings in Connecticut as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $140,116 per year, or $67.4 per hour.
Principal Statistical Programmer - Global Studies- REMOTE

Principal Statistical Programmer - Global Studies- REMOTE

Penfield Search Partners

Fairfield, CT โ€ข Remote

Other

Posted yesterday


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 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 Additional Requirements 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 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