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Clinical R Programmer Jobs in Chicago, IL (NOW HIRING)

LRES Corporation

Senior Biostatistician

Chicago, IL · On-site

$90 - $100/hr

We are seeking an experienced biostatistician with expertise in electronic health record ( EHR ) data, advanced statistical methods, and SAS and R programming to lead and support clinical and public ...

AbbVie

Senior Manager, Data Science

North Chicago, IL · On-site

$142K - $208K/yr

Of experience required, must have 1 year: * applying R & Python programming concepts & techniques ... with clinical outputs (tables, listings, & figures) with R & Python & * collaborating with ...

AbbVie

Senior Manager, Data Science

North Chicago, IL · Hybrid

$142K - $208K/yr

Of experience required, must have 1 year: * applying R & Python programming concepts & techniques ... with clinical outputs (tables, listings, & figures) with R & Python & * collaborating with ...

Allergan

Senior Manager, Data Science

Chicago, IL · On-site

$142 - $209/hr

... during clinical development. * Develop R & Python programs for extracting ADaM datasets ... engineering, or a related field &1 year as a data scientist leading data science analysis ...

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All JobsClinical R Programmer JobsClinical R Programmer Jobs in Chicago, IL

Clinical R Programmer information

See Chicago, IL salary details

$25

$66

$105

How much do clinical r programmer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for clinical r programmer in Chicago, IL is $66.73, according to ZipRecruiter salary data. Most workers in this role earn between $55.24 and $75.53 per hour, depending on experience, location, and employer.

What is a Clinical R programmer?

Clinical R Programmers are professionals who use the R programming language to manage, analyze, and visualize clinical trial data in the pharmaceutical, biotech, or healthcare industries. They play a key role in preparing statistical reports, generating tables, listings, and figures (TLFs), and ensuring data integrity for regulatory submissions. Clinical R Programmers collaborate with statisticians, data managers, and clinical teams to ensure the accuracy and compliance of clinical trial results with industry standards and regulatory requirements.

What skills and qualifications are needed to be a Clinical R programmer?

To thrive as a Clinical R Programmer, you need a solid background in statistics, R programming, and clinical trial data analysis, often supported by a degree in statistics, biostatistics, or a related field. Expertise in SAS, CDISC standards (SDTM/ADaM), and familiarity with clinical data management systems are commonly required. Attention to detail, problem-solving skills, and effective communication enable you to interpret data accurately and collaborate with cross-functional teams. These skills are vital for ensuring reliable statistical outputs that support regulatory submissions and data-driven decisions in clinical research.

What are common challenges faced by Clinical R programmers when working with clinical trial data?

Clinical R Programmers often encounter challenges such as handling large and complex datasets, ensuring strict compliance with regulatory standards (like CDISC SDTM and ADaM), and maintaining data integrity throughout the analysis process. Collaboration can be demanding, as programmers must frequently coordinate with biostatisticians, data managers, and clinical teams to interpret data requirements and resolve discrepancies. Staying updated with evolving industry guidelines and managing tight project timelines are also common aspects of the role.

What is the difference between Clinical R Programmer vs Clinical SAS Programmer?

AspectClinical R ProgrammerClinical SAS Programmer
Required CredentialsTypically requires a degree in statistics, biostatistics, or related field; proficiency in R programmingUsually requires a degree in statistics, biostatistics, or related field; proficiency in SAS programming
Work EnvironmentOften works in research-focused settings, academia, or biotech companies using open-source toolsCommonly employed in pharmaceutical companies, CROs, and clinical trial data analysis using SAS
Industry UsageGrowing in popularity for data analysis and visualization in clinical researchStandard in clinical trial data management and regulatory submissions

While both roles involve programming for clinical data analysis, Clinical R Programmers focus on using R for statistical analysis and visualization, whereas Clinical SAS Programmers primarily use SAS for data management and reporting. The choice depends on the company's preferred tools and project requirements.

What are popular job titles related to Clinical R Programmer jobs in Chicago, IL?

For Clinical R Programmer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Clinical R Programmer jobs in Chicago, IL look for?

The top searched job categories for Clinical R Programmer jobs in Chicago, IL are:

Clinical R Programmer jobs near you
Infographic showing various Clinical R Programmer job openings in Chicago, IL as of August 2026, with employment types broken down into 80% Full Time, 7% Part Time, and 13% Contract. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution, with an average salary of $138,792 per year, or $66.7 per hour.

Part-time Lecturers - Biomedical Informatics #PED226

Chicago, IL • On-site

The University of Chicago
Colleges, Universities, and Professional Schools • 10K+ employees

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Company rating: 8.1 out of 10

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Part-time

Re-posted 2 days ago

Job description

Description
The Department of Pediatrics at the University of Chicago seeks part-time lecturers to develop and teach courses in the Master of Science in Biomedical Informatics (https://bmi.bsd.uchicago.edu) program. These positions are renewable. Compensation is dependent on qualifications. These positions are benefits ineligible.
Demand for more sophisticated health information systems and medical research methodologies is rapidly growing due to advances in technology, volume of available health data, and policy initiatives. With a high premium placed on improved delivery of care, therapeutics and outcomes, the skills students acquire in the Master of Science in Biomedical Informatics prepare them to master the foundation of informatics and develop solutions to address these growing needs and current healthcare challenges.
The program operates remotely and on a quarterly schedule, with 9 or 10 weeks of instruction per quarter. Appointees will teach from the following list of courses:
• Introduction to Biostatistics
• Introduction to R Programming
• Overview of Clinical Care Systems
• Introduction to Biomedical Informatics
• Leadership and Innovation for Informatics
• Concepts in Computer Programming
• Ethics and Policy Questions: Genomics, Healthcare and Big Data
• Introduction to Applied Data Analysis
• Advanced Concepts in Computer Programming
• Intermediate Applied Data Analysis
• HIT Integration, Interoperability Standards
• Decision Support Systems & Health Care
• Introduction to Bioinformatics
• Advanced Bioinformatics: Genome Analysis
• Geographic Information Systems and Health Information
• Population Health Informatics
• Machine Learning for Biomedical Informatics
• Capstone Proposal and Research Methods
• Capstone Implementation, Writing and Presentation
Appointees will be required to develop the syllabus, synchronous class content for remote sessions, asynchronous content, assignments, and provide timely assignment feedback and grade submission(s). They will also need to manage the Canvas course site, attend all class sessions, hold weekly office hours, attend quarterly instructor meetings, participate in the capstone project process and co-curricular programming.
Prior to starting employment, qualified applicants must have 1) a graduate-level degree in a relevant field and 2) have relevant experience in biomedical informatics, clinical care, medical research, or practical experience in health care related fields.
Candidates with prior teaching experience and/or relevant practical experience are strongly preferred. Additionally, candidates with a PhD and/or MD are preferred.
To be considered, those interested must apply through The University of Chicago's Recruitment job board, which uses Interfolio to accept applications: https://apply.interfolio.com/181100.
Applicants must upload 1) a cover letter, 2) a curriculum vitae or resume, 3) a proposed syllabus that covers the course topic in sufficient detail, 4) a teaching statement, and 5) teaching evaluations. Review of applications will end when the positions are filled.
For instructions on the Interfolio application process, please visit http://tiny.cc/InterfolioHelp.

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