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Clinical R Programmer Jobs in Carrollton, TX (NOW HIRING)

The Helm ABA

Board Certified Behavior Analyst (BCBA)

Allen, TX · On-site

$85K - $98K/yr

... Clinical Programming ● Develop individualized, socially valid treatment plans with behaviorally defined, measurable goals ● Align programming with standardized assessments (e.g., VB-MAPP, ABLLS-R ...

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Vizient

Lead Data Scientist

Irving, TX

... clinical, operational, and economic outcomes. You will influence technical strategy, drive ... Expertise in programming languages such as Python, R, SQL, SAS, or similar analytical tools.

Vizient, Inc.

Lead Data Scientist

Irving, TX · On-site

... clinical, operational, and economic outcomes. You will influence technical strategy, drive ... Expertise in programming languages such as Python, R, SQL, SAS, or similar analytical tools.

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All JobsClinical R Programmer JobsClinical R Programmer Jobs in Carrollton, TX

Clinical R Programmer information

See Carrollton, TX salary details

$23

$62

$99

How much do clinical r programmer jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for clinical r programmer in Carrollton, TX is $62.52, according to ZipRecruiter salary data. Most workers in this role earn between $51.73 and $70.77 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 Carrollton, TX? For Clinical R Programmer jobs in Carrollton, TX, the most frequently searched job titles are:
What job categories do people searching Clinical R Programmer jobs in Carrollton, TX look for? The top searched job categories for Clinical R Programmer jobs in Carrollton, TX are:
What cities near Carrollton, TX are hiring for Clinical R Programmer jobs? Cities near Carrollton, TX with the most Clinical R Programmer job openings:
Clinical R Programmer jobs near you
POSTDOCTORAL RESEARCHER - Neurology - Lusk Lab [Req#: 947313, Position#: 116357]

POSTDOCTORAL RESEARCHER - Neurology - Lusk Lab [Req#: 947313, Position#: 116357]

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Posted 4 days ago

UT Southwestern rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

104th of 877 rated healthcare providers

Job description

Description
POSTDOCTORAL RESEARCHER - We are seeking a postdoctoral fellow to develop and evalutate large language model (LLM) and agentic AI systems for extracting, structuring, and reasoning over unstructured electontic health record (EHR) data, including clinical notes, imaging reports, and free-text documentation. The fellow will build pipelines that transform narrative clinical data into research-ready cohorts and decision-support tools, and will lead rigorous evalutations of these systems against clincal reference standards. Key skills include machine learning, natural language processing, prompt engineering and orchestration of agentic workflows, and technology evaluation methodology: an interest in pragmatic controlled trails off AI-enabled interventions is strongly desired. Comfort with Python and R, modern LLM tooling, and large healthcare data environments is expected.
Qualifications
The position is designed to support graduated independence: the fellow will begin by contributing to active LLM/agentic AI projects in chronic disease prevention and brain health, then progressively define and lead their own studies - moving from retrospective validation work toward prospective, pragmatic trails of AI tools embedded in real clinical workflows. Our explicit goal is for the fellow to leave the fellowship with first-author publications, independent grant submissions, and a distinct research program at the intersection of applied AI, clinical evidence generation, and health system implementation.
Application Instructions
Interested individuals must upload a CV

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