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

Clinical R Programmer information

See Concord, TN salary details

$20

$52

$83

How much do clinical r programmer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for clinical r programmer in Concord, TN is $52.40, according to ZipRecruiter salary data. Most workers in this role earn between $43.37 and $59.33 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 cities near Concord, TN are hiring for Clinical R Programmer jobs? Cities near Concord, TN with the most Clinical R Programmer job openings:
Temporary Health & Education Policy Research Associate: College of Nursing - UTK

Temporary Health & Education Policy Research Associate: College of Nursing - UTK

The University of Tennessee

Knoxville, TN • On-site

$60K/yr

Full-time

Posted 11 days ago


Job description


The College of Nursing (CON) at the University of Tennessee Knoxville, the state's flagship research institution, seeks a health and education policy research associate to join an interdisciplinary research team under the direct mentorship of Clea McNeely, DrPH. The research associate will contribute to an applied research project funded by the William T. Grant Foundation examining school attendance, chronic absenteeism, and truancy using linked longitudinal administrative data from Maryland's education and juvenile justice systems (Maryland Longitudinal Data System). The project emphasizes identifying "bright spot" middle and high schools that sustain strong attendance outcomes for Black, Hispanic, and economically disadvantaged students-while reducing punitive responses to absenteeism (e.g., unexcused absence labelling, in-school suspensions, truancy petitions to court).
This is a grant-funded position and is contingent upon the continued funding of the grant.
Responsibilities
Data Management & Reproducible Workflows
  • Build, document, and maintain reproducible data pipelines (cleaning, merging, versioning).
  • Work with large administrative, multi-level, linked datasets; implement QA checks and validation.
  • Create codebooks and data documentation for internal use and publication.

Econometric Analysis / Causal Inference
  • Create matched samples of schools and students (e.g., propensity score matching, exact/coarsened exact matching, weighting).
  • Implement quasi-experimental methods such as dynamic difference-in-differences (DiD) and synthetic DiD using matched samples.

Visualization & Research Communication
  • Produce publication-quality figures (event-study plots, balance diagnostics, distributions; maps if relevant).
  • Assist in drafting methods/results text, tables, and appendices as needed.

REQUIRED QUALIFICATIONS:
  • Earned Master's degree in economics, public health, public policy, or a related field
  • Demonstrated experience with causal inference methods.
  • Advanced programming skills in Stata, Python, or R (at least one at an advanced level).
  • Experience working with large datasets and writing clean, well-documented code.
  • Excellent communication, organizational, interpersonal, and time-management skills.
  • Must be able to pass required background/security checks prior to data access.

Qualifications
REQUIRED QUALIFICATIONS:
Education:
  • Earned Master's degree in economics, public health, public policy, or a related field

Experience:
  • Demonstrated experience with causal inference methods.
  • Experience working with large datasets and writing clean, well-documented code.

Knowledge, Skills, Abilities:
  • Advanced programming skills in Stata, Python, or R (at least one at an advanced level).
  • Excellent communication, organizational, interpersonal, and time-management skills.
  • Must be able to pass required background/security checks prior to data access.

Applicants must be legally authorized to work in the United States on a full-time basis without need now or in the future for sponsorship for employment-based visa status.
Preferred Qualifications:
  • Earned Doctorate
  • Interest in education research.
  • Interest in dissemination of research findings to practice audiences.

Work Location: This position can be distance/remote or onsite with check-ins twice a week and milestone-based deliverables.
Duration: 12 months, with possibility of extension up to 24 months.
Compensation:
  • UT market range: MR10
  • Anticipated hiring range: $60,000
  • Find more information on the UT Market Range structure here

Application Instructions
To express interest, please submit an application with the noted below attachments. To be assured of full consideration, completed applications with all requested materials should be submitted on or before August 1st.
  • Letter of interest / short cover letter (1 page) describing relevant experience with:
    • Large dataset management
    • Matching methods and DiD studies
    • Data visualization
    • Interest in education policy research
  • CV
  • Names/contact info for at least 2 references

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
About Us
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!