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Clinical R Programmer Jobs in Michigan (NOW HIRING)

A2 Ai

Statistical Programmer

Ann Arbor, MI · On-site

$75 - $110/hr

Develop and maintain programming code using R and/or SAS to create, validate, and QC clinical datasets. * Perform quality control (QC) of datasets, programming outputs, and submission documentation ...

HR Alliance

BCBA / BCaBA | Hybrid Setup

Mount Morris, MI · On-site

$60 - $65/hr

... in programming and supervision, and appreciate the support of a collaborative clinical and administrative team, this may be the right fit for you. About the Role T.R.A.C. is a 100% in-home ABA ...

HR Alliance

BCBA / BCaBA | Hybrid Setup

Flint, MI · On-site

$60 - $65/hr

... in programming and supervision, and appreciate the support of a collaborative clinical and administrative team, this may be the right fit for you. About the Role T.R.A.C. is a 100% in-home ABA ...

Medtronic

Field Service Engineer (4+ years)

Detroit, MI · On-site

Relevant experience in clinical field service or clinical customer support experience. Nice to Have ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...

Medtronic

Field Service Engineer (4+ years)

Detroit, MI · On-site

Relevant experience in clinical field service or clinical customer support experience. Nice to Have ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...

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Clinical R Programmer information

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 Michigan?

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

What job categories do people searching Clinical R Programmer jobs in Michigan look for?

The top searched job categories for Clinical R Programmer jobs in Michigan are:

What cities in Michigan are hiring for Clinical R Programmer jobs?

Cities in Michigan with the most Clinical R Programmer job openings:

Clinical R Programmer jobs near you

Statistical Programmer

A2 Ai

Ann Arbor, MI • On-site

$75 - $110/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

  • Generate and validate CDISC SDTM and ADaM datasets related to noncompartmental analysis (NCA), including PC/PP, ADPC, ADPP, and other relevant domains.
  • Develop submission-ready datasets that comply with CDISC standards, implementation guides, and controlled terminology.
  • Perform dataset validation using Pinnacle 21 (Community and/or Enterprise) and resolve validation findings to ensure regulatory compliance.
  • Prepare and maintain Define-XML packages and supporting metadata for regulatory submissions.
  • Develop and maintain programming code using R and/or SAS to create, validate, and QC clinical datasets.
  • Perform quality control (QC) of datasets, programming outputs, and submission documentation to ensure accuracy, completeness, and consistency with source data.
  • Support regulatory submissions to agencies such as the FDA, PMDA, and EMA by producing high-quality, submission-ready datasets and documentation.
Requirements
  • Bachelor’s degree in quantitative sciences, biostatistics, statistics, engineering, data science, or similar field. Master’s degree preferred.
  • Experience generating and validating CDISC SDTM and ADaM NCA domains (e.g., PC/PP, ADPC, ADPP, and related datasets).
  • Proficiency with Pinnacle 21 (Community and/or Enterprise) for validation.
  • Proficiency with R or SAS.
  • Experience preparing or reviewing Define-XML (define packages) for regulatory submissions.
  • Strong understanding of CDISC standards, controlled terminology, and implementation guides.
  • Experience supporting regulatory submissions (FDA, PMDA, or EMA) is preferred.
  • Strong attention to detail and ability to work independently in a collaborative environment.
  • This position is ideal for someone with hands-on experience in clinical data standards who can efficiently produce submission-ready datasets and associated documentation for NCA analyses.
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