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

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Clinical R Programmer information

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How much do clinical r programmer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for clinical r programmer in Cordova, TN is $56.61, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $64.09 per hour, depending on experience, location, and employer.

What is a Clinical R programmer?

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 skills and qualifications are needed to be a Clinical R programmer?

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 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 Cordova, TN?

For Clinical R Programmer jobs in Cordova, TN, the most frequently searched job titles are:

What cities near Cordova, TN are hiring for Clinical R Programmer jobs?

Cities near Cordova, TN with the most Clinical R Programmer job openings:

$78K - $139K/yr

Full-time

Re-posted 27 days ago


St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

42nd of 1,065 rated hospitals


Job description

The Department of Hematology at St. Jude Children's Research Hospital is seeking a highly motivated Senior Bioinformatics Analyst to join our research team focused on exploring the genetics of sickle cell disease. While sickle cell disease is a monogenic disorder, clinical outcomes vary across affected individuals, at least in part due to other genetic factors, many of which are yet to be discovered. The Senior Bioinformatics Analyst will have the opportunity to contribute to many projects aimed at elucidating the genetic etiology of sickle cell disease-related outcomes, including project conception, data analysis, and manuscript preparation. Specific responsibilities may include developing, evaluating, and/or implementing analytic, data visualization, and statistical approaches for genomics analyses. We are seeking candidates with expertise in identifying factors that modify disease risk or progression, treatment responsiveness, or survivorship. Candidates with a strong background in statistical genetics, genetic epidemiology, or bioinformatics are highly encouraged to apply for this position. Excellent communication skills are essential.
Our group is multidisciplinary, with collaborations across departments within St. Jude Children's Research Hospital, including the Center for Applied Bioinformatics and the Department of Biostatistics, allowing for cross-training and mentorship opportunities. As part of the Sickle Cell Clinical Research & Intervention Program, our group has access to rich longitudinal phenotypic data, and we have several ongoing and potential projects to examine the association between genetic variation and various clinical outcomes, including pain, renal function, and cognitive function. This position will also have access to state-of-the-art High Performance Computing systems. Additionally, there will be opportunity for collaboration with external scientists, as we are part of a multi-institutional effort to evaluate the genetics of sickle cell disease, including assessing germline genetic factors as well as characterizing the prevalence and consequence of clonal hematopoiesis (acquired somatic mutations) in individuals with sickle cell disease.
Job Responsibilities:
  • Collaborate with scientists across and outside the institution to develop and test hypotheses regarding the genetic modifiers of sickle cell disease.
  • Analyze genetic data with minimal supervision by performing advanced analysis, including quality control, data cleaning, statistical evaluation, and visualization.
  • Conduct genome-wide association studies (GWAS) and downstream and related analyses including transcriptome-wide association studies (TWAS).
  • Assist with project reports, presentations to diverse groups, and manuscripts.
  • Communicate findings clearly to technical and non-technical audiences.
  • Participate in the development and implementation of procedures to obtain new datasets.
  • Stay current on literature and routinely evaluate and integrate new analytical tools.

Minimum Education and/or Training:
  • Bachelor's degree in statistical genetics, genetic epidemiology, biostatistics, bioinformatics, computational biology, or statistics/computer science/data science (with a background in biological sciences) or related field.
  • Master's degree preferred.

Minimum Experience:
  • Minimum Requirement: 4+ years of relevant experience required.
  • Experience Exception: Master's degree and 1+ years of relevant experience.
  • Experience in at least one programming or scripting language and at least one statistical package, with R preferred.

Compensation
In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $78,000 - $139,360 per year for the role of Senior Bioinformatics Analyst.
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St. Jude is an Equal Opportunity Employer
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St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

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