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Internship R Statistical Programmer Jobs in Massachusetts

Essential Functions: • Derives, compiles and formats data and structures for statistical analysis ... in R and SAS and/or Stata. • 2+ years of experience with SQL database queries and programming ...

... Stat packages Experience with R programming for clinical trial analyses, data manipulation, reporting and visualization preferred Familiarity with additional programming languages and tools such as ...

Essential Functions: • Derives, compiles and formats data and structures for statistical analysis ... in R and SAS and/or Stata. • 2+ years of experience with SQL database queries and programming ...

Principal Biostatistician

Boston, MA · Hybrid

$174K - $262K/yr

Develops breadth of knowledge across related disciplines with a drug developer mindset. Knowledge and Skills: In-depth experience with SAS and R statistical software Demonstrated understanding of ...

This role leads the statistical programming function at enterprise scale-defining how data ... Delivery of continuous improvement and large-scale change projects within the function or across R ...

This role leads the statistical programming function at enterprise scale-defining how data ... Delivery of continuous improvement and large-scale change projects within the function or across R ...

Senior Statistician II - Biostatistics

Boston, MA · On-site

$94K - $116K/yr

... statistical programmer (SAS and R) • Knowledge of key technical and regulatory requirements • Experience of design, analysis and reporting of clinical studies in more than one setting • ...

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Internship R Statistical Programmer information

What is the difference between Internship R Statistical Programmer vs R Statistical Programmer?

AspectInternship R Statistical ProgrammerR Statistical Programmer
Required CredentialsTypically pursuing or recently completed a degree in statistics, biostatistics, or related fieldBachelor's or master's degree in statistics, biostatistics, or related field; professional experience preferred
Work EnvironmentInternship setting, often part-time or temporary, supervised by senior staffFull-time, permanent role within pharmaceutical, biotech, or healthcare industries
Employer & Industry UsageUsed in academic, research, or entry-level industry settingsCommon in clinical research, pharmaceutical companies, and CROs

The main difference between an Internship R Statistical Programmer and an R Statistical Programmer is experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while R Statistical Programmers are full-time professionals responsible for developing and maintaining statistical programming in clinical trials or research projects.

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

To thrive as an Internship R Statistical Programmer, you need a solid background in statistics, programming with R, and data analysis, usually supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with RStudio, data visualization libraries (like ggplot2), and version control systems such as Git is typically expected. Attention to detail, problem-solving ability, and effective communication are vital soft skills that help you interpret data and collaborate with team members. These competencies ensure accurate data processing, meaningful statistical insights, and efficient teamwork on research or business projects.

What does an Internship R Statistical Programmer do?

An Internship R Statistical Programmer assists with data analysis, statistical modeling, and data visualization using the R programming language. Interns typically work under the supervision of experienced statisticians or data scientists, helping to clean and manage datasets, write scripts and code in R, and generate reports or graphics for research projects or business analyses. This role provides valuable hands-on experience in statistical programming and is often geared towards students or early-career professionals interested in data science or analytics.

What does a typical day look like for an Internship R Statistical Programmer, and how do interns collaborate with other team members?

As an Internship R Statistical Programmer, your typical day involves writing and testing R scripts to process and analyze data, often under the guidance of experienced programmers or statisticians. You'll participate in team meetings, contribute to code reviews, and work closely with data scientists, biostatisticians, or clinical research teams depending on the industry. Collaboration is key, as you'll frequently discuss analysis plans, clarify data requirements, and troubleshoot code alongside others. This role provides hands-on experience with real-world datasets and fosters growth in both technical and communication skills.
What are the most commonly searched types of R Statistical Programmer jobs in Massachusetts? The most popular types of R Statistical Programmer jobs in Massachusetts are:
What are popular job titles related to Internship R Statistical Programmer jobs in Massachusetts? For Internship R Statistical Programmer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Internship R Statistical Programmer jobs in Massachusetts look for? The top searched job categories for Internship R Statistical Programmer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Internship R Statistical Programmer jobs? Cities in Massachusetts with the most Internship R Statistical Programmer job openings:
Biostatistical Data Programmer

Biostatistical Data Programmer

Corrona

Waltham, MA • On-site

Other

Posted 28 days ago


Job description

Summary of Position:
The Biostatistical Data Programmer will work under the guidance of a Biostatistician/Data Scientist in database management and data sciences to support the development, programming and maintenance of data, tools and processes for the Corrona data lifecycle and business integrity. The Biostatistical Data Programmer will help program, implement, organize and compile an analytic infrastructure and content for reporting and analytics, and in due course operationalizing and providing statistical analyses.
Essential Functions:
• Derives, compiles and formats data and structures for statistical analysis for Corrona analytical departments (e.g. Biostatistics and Data Sciences).
• Write clean, efficient and maintainable import/export data pipelines (across multiple environments) to expedite data requirements and analyses for Corrona business units.
• Completes data operationalization, validation and quality data checks and other required data engineering (e.g. migration) as outlined by the Biostatistical lead.
• Performs requested compilation, analyses and statistical reports for project queries.
• Utilization of various database management tools and systems.
• Based on level of experience, may also assist Biostatistical lead in the programming development of new statistical methodology for measurement and analysis of data, simulation models and other statistical programming as needed.
• Additional duties may be assigned, either temporary or permanent based upon company needs.
Education/Experience:
Required:
• Bachelor's Degree with a least 3 years' experience or Master's Degree plus 1 year experience in Biostatistics, Statistics, Mathematics, Applied Mathematics or Computer science with a concentration in Statistics or Mathematics.
• Previous experience working within a clinical, pharmaceutical, or healthcare data industry.
• Knowledge of data analysis procedures with 2 years of programming experience in R and SAS and/or Stata.
• 2+ years of experience with SQL database queries and programming with demonstrable skills.
• Experience handling both structured and unstructured data from disparate systems, and complicated longitudinal datasets.
Preferred:
• Experience programming in Java or Python.
• Test-based/test-driven development environment.
• Translation of legacy systems and applications into rules/definition based applications.
• Knowledge of distributed data processing and management systems.
• Experience with data analytics platforms, frameworks and/or workflow tools.
• Demonstrated ability to organize and integrate complex systems efficiently and effectively, with a good comprehension of algorithms and performance optimization.
Other:
• Strong working knowledge of MS Office, Word, PowerPoint, Excel, Access, and MS Project.
• Ability to travel domestically and internationally; valid passport required.
• Reliable transportation for local travel.
• Must be highly organized, initiative driven and detail-oriented, with excellent time management skills.
• Must possess strong English communication and writing skills and be able to work independently and as part of a team.
• Completion of Good Clinical Practice (GCP) training (provided by Corrona).
Skills & Requirements Qualifications