1

Clinical R Programmer Jobs in Stone Mountain, GA

Study Design Statistician (US)

Atlanta, GA ยท On-site

$80 - $100/hr

... programmers develop intellectual property and assets to support the design and analysis of clinical ... Experience in SAS and/or R statistical software packages. * Experience in study design and protocol ...

New

CLINICAL SCREEN - Candidate will be reviewed by clinical to determine clinical fit, if clinical ... ACLS, ARRT R, BLS, CCI RCES, CCI RCIS, RCIS, RCES or ARRT CV, GE Discovery, CSISkills : Accurate ...

CLINICAL SCREEN - Candidate will be reviewed by clinical to determine clinical fit, if clinical ... ACLS, ARRT R, BLS, CCI RCES, CCI RCIS, RCIS, RCES or ARRT CV, GE Discovery, CSISkills : Accurate ...

... programmers develop intellectual property and assets to support the design and analysis of clinical ... Experience in SAS and/ or R statistical software packages. * Experience in study design and ...

Showing results 21-40

Clinical R Programmer information

See Stone Mountain, GA salary details

$22

$58

$92

How much do clinical r programmer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for clinical r programmer in Stone Mountain, GA is $58.60, according to ZipRecruiter salary data. Most workers in this role earn between $48.51 and $66.35 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 Stone Mountain, GA?

For Clinical R Programmer jobs in Stone Mountain, GA, the most frequently searched job titles are:

What job categories do people searching Clinical R Programmer jobs in Stone Mountain, GA look for?

The top searched job categories for Clinical R Programmer jobs in Stone Mountain, GA are:

What cities near Stone Mountain, GA are hiring for Clinical R Programmer jobs?

Cities near Stone Mountain, GA with the most Clinical R Programmer job openings:

Study Design Statistician (US)

MMS Holdings Inc

Atlanta, GA โ€ข On-site

$80 - $100/hr

Other

Posted yesterday

New


Job description

Job Scope

As part of our Biometrics Strategic Consulting Arm, this is a fullโ€‘time role with emphasis on being an internal SME for clinical trial design, together with advising clients on a range of broader statistical issues, and will have an internal job title of Consultant Statistician.

Job Description

Our experienced statisticians and programmers develop intellectual property and assets to support the design and analysis of clinical trials, precision medicine and realโ€‘world data analytics. We address the emerging analytics needs of the Industry with our biostatistics services, bespoke algorithms and unique, state of the art, proprietary, cloudโ€‘based trial simulation software KerusCloud. Working alongside innovative statisticians you will be responsible for leading the full lifeโ€‘cycle of KerusCloud support and statistical services, from:

  • Assisting customers with their study design with a particular focus on simulation with KerusCloud to ensure they are aligned with the study objectives.
  • Preparation of study protocols and development of Statistical Analysis Plans and Statistical Analysis Reports.
  • Summarize, analyze and visualize study data using a variety of statistical methods, ultimately delivering results to an agreed timeline with optimal quality.
  • Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of thirdโ€‘party statistical and programming deliverables.
  • Maintain current knowledge of relevant research techniques such as modelling, simulation and experimental design and participate in continuous professional development activity.
  • Support preโ€‘sales discussions to understand and identify client needs, then contribute to technical solutions and resource/ cost estimates.
  • Collaborate with the Product Development team defining key features and statistical aspects of KerusCloud.
  • Provide input and support to Marketing of KerusCloud, including demonstrations to clients, white papers, etc.
Requirements
  • Bachelor's degree in mathematics, statistics, physics, pharmacology or with a strong statistical component, Master's or PhD preferred.
  • 5โ€“7 years of experience in the application of medical statistics (pharma, CRO, academic).
  • Willingness to engage with clients to understand and research problems and provide creative, businessโ€‘orientated solutions.
  • Experience in delivering customer projects to high quality standards.
  • Experience in SAS and/or R statistical software packages.
  • Experience in study design and protocol and reportโ€‘writing preferred.
  • Experience of modelling and simulation techniques to explore complex study designs preferred.
  • Experience of Bayesian approaches to design and analysis of clinical data preferred.
  • Experience of earlyโ€‘phase drug development processes including innovative/adaptive study design preferred.
#J-18808-Ljbffr