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Internship Remote Statistical Programmer Jobs in Connecticut

Cigna

Data Science Director - Remote

Bloomfield, CT · On-site +1

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

New

Dover Corporation

Chief Engineer

Pawcatuck, CT · 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 ...

Dover Precision Components

Chief Engineer

Pawcatuck, CT · 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 ...

New

Dover Corporation

Chief Engineer

Pawcatuck, CT · 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 ...

Dover Corporation

Chief Engineer

Pawcatuck, CT · 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 ...

Dover Corporation

Chief Engineer

Pawcatuck, CT · 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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All JobsStatistical Programmer JobsInternship Remote Statistical Programmer JobsInternship Remote Statistical Programmer Jobs in Connecticut

Internship Remote Statistical Programmer information

What is a remote statistical programmer internship?

A remote statistical programmer internship is a temporary, entry-level position in which interns work from a remote location to assist with data analysis and statistical programming tasks. Interns typically use programming languages such as SAS, R, or Python to manage and analyze data, often within industries like pharmaceuticals, healthcare, or finance. The role provides hands-on experience with real datasets, supports the work of experienced statisticians or data scientists, and helps interns develop valuable technical and analytical skills. Remote internships allow for flexibility in location and often require strong communication and self-motivation skills.

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

AspectInternship Remote Statistical ProgrammerRemote Data Analyst
Required CredentialsTypically pursuing or recent graduate in biostatistics, statistics, or related fieldOften degree in statistics, data science, or related field; may have certifications in data analysis tools
Work EnvironmentRemote internship, often part-time, supervised by senior statisticiansRemote or hybrid, full-time or part-time, with focus on data interpretation and reporting
Industry UsageCommon in pharmaceutical, biotech, and clinical research companiesUsed across various industries including healthcare, finance, and marketing

The main difference is that an Internship Remote Statistical Programmer is typically an entry-level, supervised role focused on programming tasks in clinical research, while a Remote Data Analyst often handles broader data analysis responsibilities across industries. Internships are usually temporary and aimed at gaining experience, whereas Data Analysts may have more independent responsibilities.

What types of projects and responsibilities can I expect as a remote statistical programming intern?

As a remote statistical programming intern, you'll typically assist with data cleaning, analysis, and reporting tasks under the guidance of senior programmers and biostatisticians. You'll often use software like SAS or R to process clinical trial or research data, create summary tables, and support the preparation of statistical deliverables. Collaboration is usually virtual, involving regular meetings, code reviews, and shared documentation. This role provides an opportunity to build foundational programming skills while contributing to real-world research projects, and you'll gain exposure to industry standards in data management and statistical analysis.

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

To thrive as an Internship Remote Statistical Programmer, you need a solid background in statistics, programming (especially in SAS, R, or Python), and data analysis, often supported by coursework in statistics or computer science. Familiarity with statistical software, data management systems, and tools like SAS or RStudio is typically required. Attention to detail, problem-solving abilities, and effective remote communication skills help interns stand out in both independent and collaborative tasks. These skills and qualities are crucial for delivering accurate analyses, meeting deadlines, and contributing effectively to data-driven projects in a remote environment.
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Internship Remote Statistical Programmer jobs near you
Principal Statistical Programmer - Global Studies- REMOTE

Principal Statistical Programmer - Global Studies- REMOTE

Penfield Search Partners

Fairfield, CT • Remote

Other

Posted 19 hours 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 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

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