ZipRecruiter

Log In

1

Junior R Statistical Programmer Jobs in Illinois

HNTB

Transportation Data Scientist

Downers Grove, IL

$74K - $139K/yr

Mentors junior team members and contributes to knowledge sharing. * Presents findings to technical ... Bachelor's degree in data science, statistics, computer science, computer engineering, or ...

Gotion, Inc.

Junior Lean Engineer

Manteno, IL · On-site

$65K - $75K/yr

Junior Lean Engineer **"Applicants must be authorized to work for any employer in the U.S. without ... Use Excel and basic statistical tools to analyze manufacturing data and identify trends. * Prepare ...

Munich Re

Data Scientist, AI

Bloomington, IL · On-site +1

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Mentor junior team members. * Data Scientist: 2 or more years of data science/predictive analytics ...

Munich Re

Data Scientist, AI

Chicago, IL · On-site +1

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Mentor junior team members. * Data Scientist: 2 or more years of data science/predictive analytics ...

Cushman & Wakefield

Junior Data Scientist

Chicago, IL

This is not primarily an engineering role, though the ideal candidate will possess data engineering ... Apply econometric and statistical methods (time series modeling, regression, spatial econometrics ...

next page

Showing results 1-20

All JobsR Statistical Programmer JobsJunior R Statistical Programmer JobsJunior R Statistical Programmer Jobs in Illinois

Junior R Statistical Programmer information

What are typical challenges a Junior R Statistical Programmer might face when transitioning from academic projects to industry settings?

Junior R Statistical Programmers often find the shift from academic to industry work entails adapting to stricter timelines, code standardization, and collaborative workflows. In industry, you may need to follow specific documentation practices, utilize version control systems like Git, and adapt your code for scalability and reproducibility. Additionally, you’ll frequently collaborate with statisticians, data managers, and project leads, which requires strong communication skills and the ability to incorporate feedback from multiple stakeholders.

What is the difference between Junior R Statistical Programmer vs Data Analyst?

AspectJunior R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentPharmaceutical or clinical research settings, working on data processing and reportingBusiness, marketing, or healthcare sectors analyzing large datasets for insights
CertificationsOften requires a degree in statistics, biostatistics, or related field; certifications like SAS or R preferred

While both roles involve data analysis and R programming, Junior R Statistical Programmers focus more on clinical or research data processing within regulated environments, whereas Data Analysts work across various industries analyzing business data. The roles share skills but differ in context and application.

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

To thrive as a Junior R Statistical Programmer, you need a solid understanding of statistical concepts, programming proficiency in R, and a bachelor's degree in statistics, mathematics, computer science, or a related field. Familiarity with data management tools like SQL, version control systems such as Git, and statistical analysis packages in R is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with team members and clearly present analytical findings. These competencies ensure accurate data analysis, reproducible results, and successful teamwork within research or business environments.

What are Junior R Statistical Programmers?

Junior R Statistical Programmers are entry-level professionals who use the R programming language to analyze data, create statistical models, and generate reports, often for research, healthcare, or business purposes. They typically assist senior statisticians or data scientists by cleaning data, writing scripts, and performing basic statistical analyses. Their role helps organizations turn raw data into actionable insights, and they often work as part of a larger analytics or research team.
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 Junior R Statistical Programmer jobs in Illinois? For Junior R Statistical Programmer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Junior R Statistical Programmer jobs in Illinois look for? The top searched job categories for Junior R Statistical Programmer jobs in Illinois are:
What cities in Illinois are hiring for Junior R Statistical Programmer jobs? Cities in Illinois with the most Junior R Statistical Programmer job openings:
Junior R Statistical Programmer jobs near you
Statistician 1

Statistician 1

Rush University Medical Center

Chicago, IL

$32 - $46.44/hr

Full-time

Posted 21 days ago

Rush University Medical Center rating

8.0

Company rating: 8.0 out of 10

Based on 107 frontline employees who took The Breakroom Quiz

133rd of 1,018 rated hospitals

Job description

Location: Chicago, Illinois

Business Unit: Rush Medical Center

Hospital: Rush University Medical Center

Department: Res-Recr - Buell

Work Type: Full Time (Total FTE between 0. 9 and 1. 0)

Shift: Shift 1

Work Schedule: 8 Hr (8:00:00 AM - 5:00:00 PM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).

Pay Range: $32.00 - $46.44 per hour
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.

Under the general direction of the Principal Investigator and Supervising Statistician for the Rush Interdisciplinary Consortium for Critical Care Trials and Data Science (RICCC), the Statistician 1 independently performs statistical analyses of critical care and ICU datasets, including CLIF (Common Longitudinal ICU Data Format, www.clif-icu.com), Epic Cosmos data, and multi-center clinical trial data. Develops and implements complex analytical programs to support epidemiological studies of critical illness and clinical trials. Provides quantitative and analytical support to multiple research projects within RICCC. 

Summary:

Under the direction of the Supervising Statistician or Statistician Manager, the Statistician 1 writes and runs computer programs to summarize and perform statistical analyses on data concerning topics in the biomedical sciences, preparing reports to summarize those results. Exemplifies the Rush mission, vision, and values and acts in accordance with Rush policies and procedures.

Required Job Qualifications:

•Master’s degree in Biostatistics, Statistics or closely related field.
•2 years of experience performing statistical analysis of biomedical or related data.
•Knowledge of linear and logistic regression, longitudinal analysis and survival analysis methods.
•Strong analytical skills.
•Proficiency with SAS or R/R-studio programming. Proficiency with Microsoft Office (Word, Excel, Power Point).
•Clear and concise written and verbal communication skills.
•Detail oriented and careful attention to accuracy.

Responsibilities:

•Compute new variables in output for specific requests, displaying stages by showing summaries of all records and by showing all data for one or more participants.
•Develop, write and run complex computer programs in SAS and R to 1) utilize, summarize, and describe datasets, including frequencies, lists, and plots and 2) perform statistical analyses of biomedical data, employing appropriate statistical methods, such as survival analyses, generalized linear modeling, nonparametric methods and graphical methods. Types of data analyzed include categorical, longitudinal, and censored failure-time data. All programs should be organized and modular.
•Perform quality checks for programs that summarize and describe by examining data to identify potential data inconsistencies. Document for review.
•Document programs clearly to facilitate interpretation and general use by other members of the team and by investigators.
•Store all output and programs on servers and file systems accessible to other team members.
•Upon request, working closely with investigators, prepare publication-ready figures.
•Conduct investigations as appropriate to ensure assumptions of statistical models developed for analyses are adequately met. Identify concerns.
•Other duties as assigned.

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

What Rush University Medical Center employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply