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R Statistical Programmer Jobs in Illinois (NOW HIRING)

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Senior SAS Programmer

Winnetka, IL · Remote

$87K - $111K/yr

Having the experience and expertise to handle complex research or development statistical programming assignments in SAS and/or R with little supervision. * Accepting responsibilities for ...

MMS

Study Design Statistician (Remote)

Chicago, IL · On-site

Our experienced statisticians and programmers develop intellectual property and assets to support ... Experience in SAS and/ or R statistical software packages. * Experience in study design and ...

Northwestern University

Statistical Analyst

Evanston, IL · On-site

$70.02K - $80K/yr

Master's degree in data science, biostatistics or statistics; or equivalent level of education or ... Proficiency with SAS or R, and SQL, programming for data management and analysis * Commitment to ...

Northwestern University

Statistical Analyst

Chicago, IL

$70.02K - $80K/yr

Master's degree in data science, biostatistics or statistics; or equivalent level of education or ... Proficiency with SAS or R, and SQL, programming for data management and analysis * Commitment to ...

Gotion, Inc.

Metrology Technician

Manteno, IL · On-site

... 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 ...

Zoro

Senior Analyst, Marketing Science

Chicago, IL

$105.60K - $130.30K/yr

Expert proficiency in SQL and statistical programming languages (R or Python) for data manipulation, statistical analysis, and model building (e.g., Bayesian methods). Demonstrated proficiency with ...

Agoda

Senior Product Manager (Japan)

Chicago, IL · On-site

$130.40K - $172.20K/yr

Computer Science, Statistics, Engineering, Mathematics, or similar quantitative discipline) • ... Python, R, or equivalent Company : Agoda is a digital travel platform that provides access to ...

1872 Consulting

Software Engineer

Chicago, IL · On-site

Python or R - or other statistical programming experience * Experience with Azure or AWS cloud platforms & services * Work experience in a development capacity within Asset Management, Investment ...

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How much do r statistical programmer jobs pay per year?

As of May 28, 2026, the average yearly pay for r statistical programmer in Illinois is $142,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $155,000.00 per year, depending on experience, location, and employer.

What is an R Statistical Programmer job?

An R Statistical Programmer is responsible for writing and optimizing code in R to analyze and manage statistical data, often in industries like pharmaceuticals, finance, or research. They develop data visualizations, automate reports, and ensure data integrity for decision-making. Many work closely with statisticians and data scientists to implement models and validate results. Strong knowledge of statistical methods, data manipulation, and regulatory requirements (in certain industries) is often required.

What are the key skills and qualifications needed to thrive in the R Statistical Programmer position, and why are they important?

To thrive as an R Statistical Programmer, you need a strong foundation in statistics, programming in R, and data analysis, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with data visualization tools, database management systems (such as SQL), and industry-relevant certifications like SAS or R programming credentials are highly valued. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings clearly make a candidate stand out. These capabilities ensure accurate data-driven insights, efficient workflow, and effective collaboration within multidisciplinary project teams.

What does a typical day look like for an R Statistical Programmer?

A typical day for an R Statistical Programmer often involves writing and optimizing R scripts to analyze datasets, creating data visualizations, and collaborating with data scientists, statisticians, or project managers to deliver actionable insights. You might spend time cleaning and preparing raw data, performing statistical modeling, and documenting your methods to ensure reproducibility. Communication is key, as you'll regularly present your findings to both technical and non-technical stakeholders. Depending on the industry, you may work independently or as part of a team in academic, healthcare, finance, or technology environments.
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R Statistical Programmer jobs near you

Statistical Programmer II

Katalyst Healthcares and Life Sciences

Waukegan, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.

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
Requirements:
  • 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

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