Statistical Programmer II
Waukegan, IL · On-site
Excellent programmer in R (including tidyverse) and are proficient working in Git-based environments (e.g., Github, Gitlab) * Solid experience in creating Tables, Listings, and Graphs using R ...
Statistical Programmer II
Waukegan, IL · On-site
Excellent programmer in R (including tidyverse) and are proficient working in Git-based environments (e.g., Github, Gitlab) * Solid experience in creating Tables, Listings, and Graphs using R ...
Statistical Programmer II
Waukegan, IL · On-site
Excellent programmer in R (including tidyverse) and are proficient working in Git-based environments (e.g., Github, Gitlab). Solid experience in creating Tables, Listings, and Graphs using R packages.
Statistical Programmer II
Waukegan, IL · On-site
Excellent programmer in R (including tidyverse) and are proficient working in Git-based environments (e.g., Github, Gitlab). Solid experience in creating Tables, Listings, and Graphs using R packages.
AI & Data Associate Director - Energy Providers EM&V
$135K - $225K/yr
Demonstrated proficiency in one or several programming languages (such as R and R's "Tidyverse" packages, Python, SQL), version control (such as GitHub), and AI-assisted coding (such as GitHub ...
AI & Data Associate Director - Energy Providers EM&V
$135K - $225K/yr
Demonstrated proficiency in one or several programming languages (such as R and R's "Tidyverse" packages, Python, SQL), version control (such as GitHub), and AI-assisted coding (such as GitHub ...
Tidyverse information
What are the key skills and qualifications needed to thrive as a Tidyverse Data Analyst, and why are they important?
To thrive as a Tidyverse Data Analyst, you need strong data manipulation, visualization, and statistical analysis skills, typically supported by a degree in statistics, data science, or a related field. Proficiency in R programming and mastery of Tidyverse packages (such as dplyr, ggplot2, tidyr, and readr) are essential, along with knowledge of version control systems like Git. Analytical thinking, attention to detail, and clear communication are standout soft skills in this role. These skills ensure accurate data insights, reproducible workflows, and effective collaboration with stakeholders for data-driven decision-making.
How does working as a Tidyverse data analyst typically involve collaboration with other teams or departments?
As a Tidyverse data analyst, collaboration is a core aspect of the role. You'll often work closely with stakeholders from various departments, such as marketing, finance, or product teams, to understand their data needs and translate them into actionable insights using R and the Tidyverse package suite. Regular communication is essential for gathering requirements, presenting findings, and ensuring that analyses align with business goals. Additionally, you may partner with data engineers or IT to access and manage datasets, and with other analysts to share best practices and streamline workflows.
What are Tidyverse packages?
The Tidyverse is a collection of R packages designed for data science. These packages share an underlying design philosophy, grammar, and data structures, making it easy to manipulate, explore, and visualize data. The core Tidyverse packages include ggplot2, dplyr, tidyr, readr, purrr, tibble, stringr, and forcats, among others. They help streamline common data analysis tasks and are widely used by R programmers for efficient and readable code.
What is the difference between Tidyverse vs Data Analyst?
| Aspect | Tidyverse | Data Analyst |
|---|---|---|
| Primary Focus | Data manipulation, visualization, and analysis using R packages | Interpreting data, creating reports, and supporting decision-making |
| Skills & Tools | R programming, ggplot2, dplyr, tidyr, readr | Excel, SQL, statistical analysis, data visualization tools |
| Work Environment | Data science teams, research labs, analytics departments | Business, finance, marketing, healthcare sectors |
| Required Credentials | Knowledge of R, data analysis, statistics | Degree in statistics, data science, or related fields |
While Tidyverse refers to a collection of R packages for data manipulation and visualization, Data Analysts utilize these tools along with other skills to interpret data and generate insights. Tidyverse is a technical toolkit, whereas Data Analyst is a role that applies these tools in various industries to support decision-making.
What are popular job titles related to Tidyverse jobs in Illinois? For Tidyverse jobs in Illinois, the most frequently searched job titles are:
- Entry Level Data Visualization Tableau
- Technical Writing Summer Intern
- Telecommute Natural Gas Analyst
- Internship Data Analyst Spanish
- Intern Data Scientist Apprentice
- Internship Data Analytics Engineer
- Data Science Internship Summer 2026
- Internship Seismic Geophysicist
- Student Shadow Data Analytics
- Intern Social Data Analyst
What job categories do people searching Tidyverse jobs in Illinois look for? The top searched job categories for Tidyverse jobs in Illinois are:
What cities in Illinois are hiring for Tidyverse jobs? Cities in Illinois with the most Tidyverse job openings:
Other
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Job description
Responsibilities:
- Team provides customized real-world data and real-world evidence solutions to address the most important research questions across clinical development, market access, and commercial use cases for our life sciences partners
- Independently translate analytic specifications from a statistical analysis plan into R code to create analytic datasets, generating descriptive and inferential statistics, data visualizations, often involving Client variables or complex statistical methods, in consultation with the study principal investigator
- Serve as subject matter expert on appropriate use cases for, and nuances of, the variety of different Flatiron data modalities, including EHR-derived real-world data, clinico-genomics data, ML-extracted data, and claims data
- Develop a proficient understanding of cancer biology, therapy, and/or epidemiology across multiple major tumor types and appropriately apply this understanding when crafting analytic code
- Provide mentorship and support to more junior statistical programming staff
- Collaborate with cross-functional stakeholders across our medical and scientific organization to execute and deliver on client-sponsored research studies in an accurate, effective, and timely manner
- Contribute to continuous improvement of Flatiron's proprietary analytical tooling and templates, at times acting as liaison to the relevant teams and stakeholders
- Continue to develop a deeper understanding of real-world data and related methodologies used to generate real-world evidence
- Work closely with Epidemiology and Biostatistics to assure output quality by providing expert feedback on SAP, Analytic/TLF specifications from functional perspectivly
- Doctorate degree (e.g., PhD, ScD, DrPH) in Biostatistics/Statistics, Data Science, Bioinformatics, Biological Sciences, Public Health, Math, or a closely related field with 3-4 years of relevant experience, or a Master's degree with 6-7 years of relevant experience or a Bachelor's degree with 7-8 years of relevant experience
- In addition, you're an analytical thinker and excellent communicator with experience analyzing real-world data (e.g., healthcare claims or electronic health records)
- Excellent programmer in R (including tidyverse) and are proficient working in Git-based environments (e.g., Github, Gitlab)
- Solid experience in creating Tables, Listings, and Graphs using R packages
- Create/review programming documents (e.g., programming plan, specification for datasets and output template)
- Knowledge of ICH guidelines, FDA / EMA / other regulatory authority guidance from a programming standpoint
- Extensive experience with large healthcare-related datasets (e.g., administrative claims, electronic medical records, genomics)
- Experience leading teams, either as a manager or project/team lead
- Familiar with CDISC conventions, i.e. SDTM and ADaM models (using SAS) and related controlled terminologies, and knowledge or some experience using these models