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Remote Statistical Programmer Jobs in Connecticut

Data Scientist

Hartford, CT ยท On-site +1

$90K - $135K/yr

... statistical modeling, machine learning, and data engineering techniques to enhance and overhaul ... This role can have a Hybrid or Remote work arrangement depending on experience and skillset.

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 Jun 20, 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 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:
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What cities in Connecticut are hiring for Remote Statistical Programmer jobs? Cities in Connecticut with the most Remote Statistical Programmer job openings:
Senior Statistical Programmer - Remote

Senior Statistical Programmer - Remote

Penfield Search Partners

Fairfield, CT โ€ข On-site, Remote

Other

Posted 5 days ago


Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Senior Statistical Programmer to support programming activities within CNS in support of clinical trials and regulatory submissions. In this role, you will transform raw clinical data into analysis ready datasets, generate high-quality TLFs, and contribute to the continuous improvement of analysis workflows and programming processes. Key Responsibilities: Provide statistical programming support to generate SDTM and ADaM data sets, tables, listings, and figures for individual studies as well as ISS/ISE analyses

Provide programming support to internal teams including identifying, reporting, and resolving raw data issues Participate in the review of statistical analysis plans, table specification, develop specification for SDTM and ADaM data sets. Participate in study team meetings and address issues that may affect statistical programming. Support and participate in the preparation of clinical study reports, regulatory submissions, and annual DSUR and safety reports.

Perform ad hoc analyses and data validation. Develop and maintain necessary programming macros or tools to effectively support all programming needs Develop and contribute to internal teams SOPs and working documents related to EDC studies, FDA requests, independent validation, and general statistical programming processes. Qualifications Bachelor's or Master's degree in biostatistics, computer science, or related fields 8 years in statistical programming within the pharmaceutical, biotechnology, or CRO industry, including regulatory submissions within CNS is preferred.

Advanced SAS programming; CDISC standards expertise; knowledge of additional programming languages (R, Python) is a plus. Strong Macro and tool development and validation Experience in BLA, NDA/sNDA submissions. Proficiency in additional programming languages such as R or Python, along with experience using SAS/Graph and statistical packages, is preferred.

Strong communication skills and the ability to collaborate within cross-functional teams to manage priorities and meet deadlines are essential.