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Clinical R Programmer Jobs in Knoxville, TN (NOW HIRING)

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Clinical R Programmer information

See Knoxville, TN salary details

$23

$61

$97

How much do clinical r programmer jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for clinical r programmer in Knoxville, TN is $61.82, according to ZipRecruiter salary data. Most workers in this role earn between $51.15 and $69.95 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 Knoxville, TN? For Clinical R Programmer jobs in Knoxville, TN, the most frequently searched job titles are:
What job categories do people searching Clinical R Programmer jobs in Knoxville, TN look for? The top searched job categories for Clinical R Programmer jobs in Knoxville, TN are:
What cities near Knoxville, TN are hiring for Clinical R Programmer jobs? Cities near Knoxville, TN with the most Clinical R Programmer job openings:
Clinical R Programmer jobs near you
Infographic showing various Clinical R Programmer job openings in Knoxville, TN as of June 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $128,585 per year, or $61.8 per hour.

Research Scientist: College of Nursing - UTK

The University of Tennessee

Knoxville, TN • On-site, Remote

$50K/yr

Full-time

Posted 9 days ago

Job description

The College of Nursing (CON) at the University of Tennessee Knoxville, the state's flagship research institution, seeks a Research Scientist to preform technical, analytical, and data science operations for active digital health and clinical informatics research projects under the direct mentorship of the Principal Investigator (PI). The Research Scientist will drive data science, machine learning, and systems engineering methodology under federal and institutional research grants. Key responsibilities include implementing predictive models, prototyping clinical decision support (CDS) workflows and establishing technical integrations with clinical platforms. 

This is a grant-funded position and is contingent upon the continued funding of the grant. 

The University of Tennessee, Knoxville, has shaped leaders, changemakers, and innovative thinkers since its founding in 1794. The university is home to more than 38,000 students and 10,000 statewide employees-the Volunteers-who uphold the university's tradition of lighting the way for others through leadership and service. 

UT Knoxville offers over 900 programs of study across 14 degree-granting colleges and schools. As Tennessee's flagship land-grant university, its footprint spans the entire state. The university holds the highest Carnegie classification for research activity and has deep partnerships with industry leaders and the US Department of Energy's largest multidisciplinary laboratory, Oak Ridge National Laboratory. 

The Knoxville campus serves and recruits for UT Knoxville, including the Institute of Agriculture and the Space Institute, as well as the UT Institute of Public Service.  

UT Knoxville considers its employees its number one asset. With values that focus on work-life balance, compensation, and innovation leadership, all Vols are supported to advance professionally. Employees have access to career development and coaching, continued education, and an extensive list of development and training possibilities. The Volunteer employee experience implements structures and practices to attract and retain top-tier talent, fostering a strong staff community and supporting a culture of involvement and engagement for everyone. 

The university holds a strong commitment to its land-grant mission of learning and engagement, with a tradition of service and leadership that carries that Volunteer spirit throughout the state and around the world. It has been ranked nationally as "Best Employer for New Graduates," "One of America's Best Large Employers," and "Best Workplace for Women," and has been designated as "Best Place for Working Parents" by Forbes Magazine.  

Apply today and join the Tennessee Volunteer community! 

REQUIRED QUALIFICATIONS:

Education:

  • PhD or advanced doctoral candidacy (ABD) in Biomedical Informatics, Nursing Informatics, Computer Science, Data Science, Quantitative Psychology, or a related computational/quantitative field.

Knowledge, Skills, Abilities:

  • Strong track record of scientific writing, including contributions to peer-reviewed publications and federal grant proposals (NIH preferred).
  • Excellent communication skills with a proven ability to translate complex clinical workflows into structured engineering requirements.
  • Advanced proficiency in Python, R, and database querying (SQL).
  • Hands-on experience developing and deploying machine learning or predictive models.
  • Demonstrated familiarity with NLP, text mining, or clinical language modeling.

Preferred Qualifications:

Experience:

  • Experience analyzing clinical metadata, EHR documentation, claims, and operational clinical data
  • Familiarity with clinical terminologies/ontologies (e.g., SNOMED-CT, LOINC, RxNorm) or knowledge representation frameworks.
  • Familiarity with natural language processing, generative AI, and associated AI frameworks
  • Experience collaborating with commercial digital health, medical device, or health tech vendors on system integrations, security agreements, or intellectual property protocols.

Work Location: This position can be distance/remote or onsite in Knoxville, TN. 

Compensation:

  • UT market range: MR09
  • Anticipated hiring range: $50,000
  • Find more information on the UT Market Range structure here

Application Instructions 

For best consideration, applicants should submit a cover letter and resume before August 3rd, 2026.

About the College of Nursing 

With a longstanding tradition of excellence in nursing education, research, and clinical practice, we are proud to be a guiding force in healthcare education. We embrace innovation while honoring the values that have shaped our success. By offering cutting-edge academic programs, supporting impactful research, and forging strong community partnerships, we prepare healthcare professionals who deliver high-quality, culturally responsive care in a diverse and ever-changing world. Join the Vol Nurse Family! Get to know CON

Predictive Modeling & Data Science 

  • Execute and evaluate predictive models using various data models.

  • Program and maintain complex data pipelines utilizing Python, R, or SQL to extract, clean, and analyze relevant research data.

  • Conduct advanced statistical modeling to analyze research outcomes

Clinical Decision Support (CDS) Prototyping & Technical Integration 

  • Design, implement, and evaluate proof-of-concept/prototype CDS systems

  • Perform technical evaluations of partner technology stacks, API endpoints, and messaging protocols to map secure data integrations.

  • Build and validate simulation tools to train model prompts, evaluate data extraction accuracy, and test clinical CDS vignettes.

Knowledge Engineering & Ontology Development (15%) 

  • Collaborate with multi-disciplinary co-investigators and specialists (e.g., computer science, clinical sciences, ontology teams) to refine, map, and translate clinical vocabularies, taxonomies, and knowledge representation frameworks.

  • Maintain data security, IRB compliance, and access controls for datasets in secure academic computing environments.

Grant Writing & Academic Operations 

  • Contribute to federal and foundation grant proposals by drafting and editing technical sections (specifically Specific Aims, Research Strategy, and Approach sections) under the direction of the PI

  • Co-author peer-reviewed manuscripts and represent the research team at national biomedical informatics and clinical research conferences.

  • Provide informatics, data science, and analytical guidance to junior faculty, postdocs, and graduate research assistants

Apply