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

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.

Vizient

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.

Src

Sr. Healthcare Data Analyst - Epic

Dallas, TX · On-site +1

$85K - $107K/yr

Design, develop, and automate clinical quality and operational performance metrics. Maintain ... computer engineering, or other computational quantitative field required. * Master's Degree or ...

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

Clinical R Programmer information

See Allen, TX salary details

$23

$60

$95

How much do clinical r programmer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for clinical r programmer in Allen, TX is $60.25, according to ZipRecruiter salary data. Most workers in this role earn between $49.86 and $68.22 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 does a clinical programmer do?

A clinical programmer develops and maintains software for clinical trials, including programming data collection, validation, and analysis tools. They work with statistical teams to generate reports and ensure data accuracy, often using programming languages like SAS or R in a regulated environment.

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.

Is clinical SAS programmer a good career?

A clinical SAS programmer is a specialized role in the healthcare and pharmaceutical industries, focusing on data analysis and reporting using SAS software. It offers stable employment, competitive salaries, and opportunities for advancement, especially with certifications and experience. The role typically requires strong analytical skills and knowledge of clinical trial processes.

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 is the salary of a clinical data programmer?

The salary of a clinical data programmer typically ranges from $70,000 to $100,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced professionals with advanced skills in SAS, R, or SQL can earn higher salaries. Many roles also offer benefits such as health insurance and flexible schedules.

Which is better, CDM or SAS?

For a Clinical R Programmer, SAS is a widely used statistical software in clinical trials and regulatory submissions, offering robust data management and analysis capabilities. CDM (Clinical Data Management) refers to the process of handling clinical data, often using tools like SAS or dedicated CDM systems; the choice depends on project needs, but SAS proficiency is highly valued in the field.
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What cities near Allen, TX are hiring for Clinical R Programmer jobs? Cities near Allen, TX with the most Clinical R Programmer job openings:
Clinical R Programmer jobs near you
Lead Data Scientist

Lead Data Scientist

Vizient, Inc.

Irving, TX • On-site

Full-time

Posted 11 hours ago

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Summary:
In this role, you will develop and deploy advanced analytics, machine learning, generative AI, and agentic AI solutions that address complex business and client challenges. You will design scalable data science products, translate sophisticated analytical findings into actionable insights, and guide data scientists in delivering high-quality solutions that improve clinical, operational, and economic outcomes. You will influence technical strategy, drive innovation, and ensure analytical solutions align with organizational objectives.
Responsibilities:
  • Lead the design, development, and implementation of advanced machine learning, generative AI solutions across structured and unstructured data.
  • Build and deploy scalable, automated data science products and reusable analytic assets that support business and client objectives.
  • Analyze large-scale, high-dimensional datasets using modern analytics tools and distributed computing platforms to identify trends, opportunities, and actionable insights.
  • Design and prototype agentic AI workflows leveraging large language models (LLMs), retrieval systems, structured data, APIs, tools, and business rules to automate complex business processes.
  • Translate business requirements into AI agent architectures, including task decomposition, tool orchestration, routing logic, escalation paths, and human approval checkpoints.
  • Optimize retrieval-augmented generation (RAG) solutions through embedding evaluation, metadata design, reranking approaches, citation quality assessment, and knowledge freshness validation.
  • Develop evaluation frameworks for machine learning and AI solutions, including performance, accuracy, reliability, hallucination risk, latency, cost, safety, and consistency measures.
  • Make key analytical and architectural decisions, establish technical standards, and provide leadership on methodology, model selection, solution design, and AI implementation best practices.
  • Lead code reviews, mentor data scientists, and promote best practices in software development, responsible AI, model governance, and analytics delivery.
  • Partner with engineering, platform, and business teams to deploy, monitor, and maintain production-ready analytics and AI solutions.
  • Translate complex analytical findings into clear reports, visualizations, and presentations for technical and non-technical audiences.
  • Collaborate with stakeholders and clients to define analytical approaches that address strategic, operational, and clinical objectives.
  • Evaluate emerging technologies and industry trends to advance organizational analytics and AI capabilities.

Qualifications:
  • Relevant degree preferred. Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related field is a plus.
  • 7 or more years of relevant experience required.
  • Demonstrated expertise in data science methodologies, statistical modeling, machine learning, generative AI, agentic AI, and natural language processing required.
  • Strong understanding of large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and autonomous decision-making frameworks within enterprise AI environments highly preferred.
  • Expertise in programming languages such as Python, R, SQL, SAS, or similar analytical tools.
  • Experience with vector databases, semantic search technologies, knowledge graphs, metadata management, or enterprise search platforms.
  • Experience deploying, monitoring, and maintaining machine learning and AI solutions in production environments.
  • Knowledge of responsible AI principles, model governance, explainability, bias detection, validation methodologies, and ethical use of data.
  • Experience designing and implementing human-in-the-loop workflows that balance automation, governance, risk management, and user oversight.
  • Experience working with cloud-based and distributed data platforms and modern analytics frameworks such as Databricks.
  • Strong analytical, problem-solving, communication, and presentation skills with the ability to convey complex concepts to diverse audiences.
  • Experience leading complex analytics initiatives, providing technical guidance, and mentoring data scientists.
  • Experience working with healthcare data, including clinical, claims, operational, or financial datasets preferred.

#LI-JB1
Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00.
This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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