... 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 ...
... 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 ...
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Senior SAS Programmer
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Business Systems Administration Internship
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Quick apply
Proficiency in Python (experience in R or other languages a plus). * Strong interest in statistical ... Prior internship or project experience in trading, quantitative research, or software engineering.
... R, Statistical Process Control (SPC) to ensure product gauging meets requirements. * Resolve issues and answer questions from Operators as well as from Inspectors and Engineers. * Train other ...
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These tasks will mostoften be accomplished using a combination of statistical programming packageslike R and Stata, as well as SQL and Python, on both cloud-hosted and moretraditional platforms.
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Senior Statistician
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Extensive experience in statistical analysis, including quantitative and qualitative methods ... Experience in the use of linear programming, operations research, principal component analysis ...
Quick apply
Senior Statistician
$84K - $103K/yr
Extensive experience in statistical analysis, including quantitative and qualitative methods ... Experience in the use of linear programming, operations research, principal component analysis ...
Senior Statistician
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Extensive experience in statistical analysis, including quantitative and qualitative methods ... Experience in the use of linear programming, operations research, principal component analysis ...
Senior Statistician
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Internship R Statistical Programmer information
What is the difference between Internship R Statistical Programmer vs R Statistical Programmer?
| Aspect | Internship R Statistical Programmer | R Statistical Programmer |
|---|---|---|
| Required Credentials | Typically pursuing or recently completed a degree in statistics, biostatistics, or related field | Bachelor's or master's degree in statistics, biostatistics, or related field; professional experience preferred |
| Work Environment | Internship setting, often part-time or temporary, supervised by senior staff | Full-time, permanent role within pharmaceutical, biotech, or healthcare industries |
| Employer & Industry Usage | Used in academic, research, or entry-level industry settings | Common 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 Illinois? The most popular types of R Statistical Programmer jobs in Illinois are:
What are popular job titles related to Internship R Statistical Programmer jobs in Illinois? For Internship R Statistical Programmer jobs in Illinois, the most frequently searched job titles are:
- Freelance Adabas Natural Developer
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What job categories do people searching Internship R Statistical Programmer jobs in Illinois look for? The top searched job categories for Internship R Statistical Programmer jobs in Illinois are:
What cities in Illinois are hiring for Internship R Statistical Programmer jobs? Cities in Illinois with the most Internship R Statistical Programmer job openings:
Full-time
Posted 5 days ago
Job description
Career CategoryClinicalJob Description
Biostatistical Programming Manager
What you will do
Let's do this. Let's change the world. In this vital role you will provide both strategic oversight and hands-on statistical programming support to enable high-quality and timely clinical trial deliverables.
This role is part of the centrally managed Quality and Quick Response (QQR) Programming team and is responsible for supporting urgent and high-priority programming needs across development programs. The manager will serve as a technical programming expert who can rapidly respond to internal and external requests, support special projects, provide global quality oversight, and contribute directly to programming deliverables when needed.
This role will primarily support programs within the Obesity Therapeutic Area and requires close collaboration with cross-functional teams to support fast-paced development activities and evolving business priorities.
Responsibilities
Provide rapid response statistical programming support for urgent internal and external requests
Serve as a lead programmer for studies and projects, such as Data Access Plan (DAP) activities, unblinding efforts, and special projects
Deliver hands-on programming support for SDTM, ADaM, Tables, Listings, and Figures (TFLs), and other study and regulatory submission deliverables as needed
Oversee the execution and quality of projects managed by our FSP partners per Amgen Global Statistical Programming (GSP) Quality Oversight Plan (QOP)
Ensure that FSP and in-house programming deliverables meet quality, compliance, timeline, and productivity expectations
Mitigate at-risk projects by providing technical expertise, programming support, and operational guidance
Contribute to training material development and delivery to internal teams and FSP partners
Provide guidance and technical consultancy to study programming team on Amgen processes, tools, and utilities
Lead/contribute to GSP continuous improvement iniatives and support cross-functional initiatives including inspection readiness, process improvement, innovation, and training activities
Contribute to programming team performance metrics development, data collection, and reporting
Review project documentation such as specifications, issue logs, deliverable status for accuracy and completeness
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a manager with these qualifications.
Basic Qualifications:
Doctorate degree OR
Master's degree and 2 years of statistical programming experience OR
Bachelor's degree and 4 years of statistical programming experience OR
Associate's degree and 8 years of statistical programming experience OR
High school diploma / GED and 10 years of statistical programming experience
Preferred Qualifications:
Masters in Computer Science, Statistics, Mathematics, Computer Science, Life Sciences or another relevant scientific subject
6+ years of statistical programming in biopharmaceutical industry
Regulatory submission experience
Strong hands-on SAS programming expertise including SAS Base, Macro, SQL, SAS/Graph and 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 Python preferred
Hands-on experience developing and validating SDTM, ADaM datasets, and TFLs
Thorough understanding of clinical trial processes from data collection through analysis and reporting
Ability to lead programmers in successful completion of all study programming activities and provide guidance on technical and process questions
Strong understanding of data standards and compliance checks including Pinnacle 21
Experience providing quality oversight for outsourced and internal programming deliverables
Ability to troubleshoot complex technical issues and turnaround at-risk projects
Experience working in a globally dispersed team on Phase 1-4 clinical trials
Experience supporting clinical development programs within the Obesity Therapeutic Area preferred
Understanding of obesity clinical endpoints, data standards, and regulatory considerations is highly desirable
Excellent oral and written English communication skills; strong collaboration, negotiation, and organizational skills
.Salary Range
129,056.35USD -174,605.65USD