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

Vets2PM

Customer Service Engineer

Chicago, IL · On-site

$64K - $88K/yr

Job Title: Customer Service Engineer (R-26395) Location: Chicago, Illinois Company: Siemens ... Our portfolio is crucial for clinical decision-making and treatment pathways. How we work: When you ...

Tempus

Director, Biostatistics

Chicago, IL · On-site

$190K - $260K/yr

... Programmers, Clinical Operations, Data Managers, etc. * Thorough understanding of statistical principles and clinical experiment methodology. * Computational skills using R, and/or SAS, especially ...

Tempus

Director, Biostatistics

Chicago, IL · On-site

$190K - $260K/yr

... Programmers, Clinical Operations, Data Managers, etc. * Thorough understanding of statistical principles and clinical experiment methodology. * Computational skills using R, and/or SAS, especially ...

ICONMA

Purchasing Specialist / Buyer

Lake Forest, IL · On-site

... Technology, Engineering, Accounting/ Finance, Scientific/Clinical, Professional, Mortgage ... R & D Procurement and Contracting Specialist This individual will assist the Global Sourcing Lead ...

Shirley Ryan AbilityLab

Data Analyst II

Chicago, IL · On-site

The role involves programming and maintaining dashboards, supporting analytics projects, and ... maintain clinical, research, and operations dashboards, standard reports, and other end-user ...

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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 Jul 11, 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 are the key skills and qualifications needed to thrive as a Clinical R Programmer, and why are they important?

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 Clinical R Programmers?

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 are some 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 July 2026, with employment types broken down into 85% Full Time, 5% Part Time, 5% Temporary, and 5% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $138,792 per year, or $66.7 per hour.
Statistical Analyst

Statistical Analyst

Northwestern University

Evanston, IL • On-site

$8/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Northwestern University rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

119th of 552 rated colleges and universities

Job description

Department: MED-Preventive Medicine
Salary/Grade: EXS/8
Job Summary:
The Quantitative Data Sciences Core (QDSC) of the Robert H. Lurie Comprehensive Cancer Center at the Feinberg School of Medicine (FSM) is recruiting a Master's-level statistical analyst to join a highly collegial academic environment in the Division of Biostatistics & Informatics in FSM's Department of Preventive Medicine. This role involves collaborating with cancer research investigators on clinical trials and other clinical, epidemiological, and basic science studies, working under the supervision of Biostatistics faculty members. Duties include managing and analyzing multiple complex datasets; ensuring data integrity, quality, and timeliness of results; developing statistical analysis plans in collaboration with biostatistics faculty; and preparing statistical analysis reports using reproducible pipelines. Level of appointment and responsibilities will be commensurate with experience and education.
Target hiring range for this position will be between $70,017 - $80,000 per year. Offered salary will be determined by the applicant's education, experience, knowledge, skills and abilities, as well as internal equity and alignment with market data.
Specific Responsibilities:
Strategic Planning
  • Manages and plans for data/analysis requests and projects.
  • Provides consultation to customers on appropriate data management, methodological issues and statistical analyses.
  • Assists in the development of statistical analysis plans.
  • Manages multiple ongoing projects.
  • Assists in the development of project analysis milestones and timelines, and ensures timely completion.
  • Collaborates with Quality Assurance Monitoring team and other groups on data collection tool development and other data management activities.
Administration
  • Reviews reports before presentation to ensure quality and accuracy.
  • Develops and maintains documentation of process for quality assurance and reporting methodology
Development
  • Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex statistical analysis.
  • Determines data structure for local datasets.
  • Cleans and organizes data in preparation for analysis.
  • Prepares statistical analysis reports, including tables and figures, for meetings with investigators, and for presentations and publications.
  • Develops well-documented code using code style best practices.
  • Prepares structured and well-annotated statistical analysis reports using R and R Markdown.
  • Develops data collection tools independently and in collaboration with other groups.
  • Learns new statistical methods as needed for projects.
Performance
  • Develops and documents standards for data quality and regulatory compliance pertaining to reporting.
  • Ensures quality and compliance by reviewing reports.
  • Performs range, logic and consistency checks, reporting errors when preparing reports.
  • Produces readable well-documented code according to code style best practices.
  • Maintains professional and clear communication style.
  • Adheres to project timelines and deadlines.
Miscellaneous
Performs other duties as assigned.
Minimum Qualifications:
  • Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree; OR appropriate combination of education and experience.
  • 4 years data analysis/report writing or similar experience required.
Infrastructure
  • High Performance Computing (HPC)
  • Microsoft Office (Word, Excel, Powerpoint, Access, Outlook)
  • Programming Languages and Frameworks
  • Other: R, RStudio, R Markdown
Compliance
  • HIPAA
  • IRB
Analytical
  • critical thinking
  • data mining
  • data modeling
  • database design/ data structure
  • Debugging
  • decision making
  • judgment
  • problem solving
  • Troubleshooting
Project
  • Code documentation
  • collaboration and teamwork
  • organizational skills
  • planning
  • workflow development & documentation
  • write proposals and project charters
Minimum Competencies: (Skills, knowledge, and abilities.)
  • Strong foundational knowledge of statistical methods used in cancer biostatistics.
  • Advanced proficiency in R and R Markdown for data management, analysis, and report generation, including the ability to write clean, well-documented, and reproducible code using the tidyverse and related packages.
  • Clear and effective oral and written communication skills, with the ability to explain statistical results to clinical collaborators.
  • Strong organizational and problem-solving skills with a high level of attention to detail; ability to work independently and manage multiple projects simultaneously.
Preferred Qualifications:
  • Strong foundational knowledge of statistical methods used in cancer biostatistics.
  • Advanced proficiency in R and R Markdown for data management, analysis, and report generation, including the ability to write clean, well-documented, and reproducible code using the tidyverse and related packages.
  • Clear and effective oral and written communication skills, with the ability to explain statistical results to clinical collaborators.
  • Strong organizational and problem-solving skills with a high level of attention to detail; ability to work independently and manage multiple projects simultaneously.
  • Master's degree in Biostatistics or Statistics, or equivalent level of education.
  • Professional experience applying high-level biostatistical methods (e.g. survival analysis, longitudinal modeling, clinical trial analysis) within a collaborative environment.
  • Prior experience in cancer research, including familiarity with early phase clinical trial design and cancer-specific endpoints.
  • Experience with data management, quality control, data cleaning and curation.
  • Proven ability to work independently, manage multiple projects, and meet competing deadlines within a shared resource collaboration model.
Preferred Competencies: (Skills, knowledge, and abilities)
  • Advanced modeling, including knowledge of survival analysis, regression modeling, longitudinal models, and model diagnostics.
  • Familiarity with or interest in propensity score methods, causal inference, and high-dimensional data analysis.
  • Familiarity with exploratory data analysis, and publication-quality data summaries and data visualization.
Benefits:
At Northwestern, we are proud to provide meaningful and competitive benefits. The available benefits package for this position will include health, dental, vision, disability, and life insurance; paid vacation and holidays; paid medical/sick and parental leave; tuition benefits for the employee and dependents; pre-tax and flex spending accounts for commuting and dependent care; generous retirement savings options; and wellness programs. For a comprehensive overview of available benefits, including eligibility details, visit us at https://www.northwestern.edu/hr/benefits/index.html to learn more.
Work-Life and Wellness:
Northwestern offers comprehensive programs and services to help you and your family navigate life's challenges and opportunities, and adopt and maintain healthy lifestyles.
We support flexible work arrangements where possible and programs to help you locate and pay for quality, affordable childcare and senior/adult care. Visit us at https://www.northwestern.edu/hr/benefits/work-life/index.html to learn more.
Professional Growth & Development:
Northwestern supports employee career development in all circumstances whether your workspace is on campus or at home. If you're interested in developing your professional potential or continuing your formal education, we offer a variety of tools and resources. Visit us at https://www.northwestern.edu/hr/learning/index.html to learn more
Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status. View Northwestern's non-discrimination statement . Job applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance. View additional information on the accommodations process .

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