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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
Senior Statistical Programmer - Remote

Senior Statistical Programmer - Remote

Penfield Search Partners

Fairfield, CT • On-site, Remote

Other

Posted 29 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.

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