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Clinical R Programmer Jobs in Clinton Township, MI

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Clinical R Programmer information

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How much do clinical r programmer jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for clinical r programmer in Clinton Township, MI is $64.00, according to ZipRecruiter salary data. Most workers in this role earn between $52.98 and $72.45 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 does a clinical programmer do?

A clinical programmer develops and maintains software for clinical trials, including programming data collection, validation, and analysis tools. They work with statistical teams to generate reports and ensure data accuracy, often using programming languages like SAS or R in a regulated environment.

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.

Is clinical SAS programmer a good career?

A clinical SAS programmer is a specialized role in the healthcare and pharmaceutical industries, focusing on data analysis and reporting using SAS software. It offers stable employment, competitive salaries, and opportunities for advancement, especially with certifications and experience. The role typically requires strong analytical skills and knowledge of clinical trial processes.

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 is the salary of a clinical data programmer?

The salary of a clinical data programmer typically ranges from $70,000 to $100,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced professionals with advanced skills in SAS, R, or SQL can earn higher salaries. Many roles also offer benefits such as health insurance and flexible schedules.

Which is better, CDM or SAS?

For a Clinical R Programmer, SAS is a widely used statistical software in clinical trials and regulatory submissions, offering robust data management and analysis capabilities. CDM (Clinical Data Management) refers to the process of handling clinical data, often using tools like SAS or dedicated CDM systems; the choice depends on project needs, but SAS proficiency is highly valued in the field.
Research Associate - Department of Oncology

Research Associate - Department of Oncology

Wayne State University

Detroit, MI • On-site

Full-time

Posted 15 days ago


Wayne State University rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

242nd of 537 rated colleges and universities


Job description

Research Associate - Department of Oncology
Wayne State University is searching for an experienced Research Associate - Department of Oncology at its Detroit campus location.
Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.
Essential functions (job duties):
Perform laboratory based scientific techniques or clinical/population science (human subjects) research. Design and perform experiments, recruit participants for studies by developing surveys and interviewing candidates. Participate in implementing research objectives, ensuring compliance with all legal, regulatory and protocol guidelines. Assist staff with experiments /research protocols as required. Communicate with principal investigator and Postdoctoral scholars/fellows on the status of research.
Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research protocols as stipulated. Proofread and edit research data and documents to ensure accuracy.
Prepare and present presentations regarding research results for professional, scientific and academic conferences. Summarize and organize data results for submittal to academic and scholarly, peer-reviewed journals. Write scientific manuscripts and other documents for publication. Fact-check, proofread, and edit research documents to ensure accuracy.
Maintain the laboratory work areas including routine maintenance on laboratory equipment as required. Order and organize required research supplies and records. Maintain cleanliness and organization of work station.
Perform other related duties as assigned.
Unique duties:
- Perform bioinformatics and statistical analysis of large-scale datasets and interpret results in collaboration with laboratory investigators. - Develop, implement, and maintain computational tools and data analysis pipelines. - Manage and organize bioinformatics data, ensuring integrity, reproducibility, and accessibility. - Generate data visualizations and contribute to figure preparation, reports, and manuscripts. - Provide input on study design and analytical approaches. - Assist in the preparation of publications and grant applications. - Maintain awareness of emerging bioinformatics methods and tools. - Participate in laboratory meetings and collaborative research activities.
Qualifications:
Education: Bachelor's degree
Bachelor's degree in a related field of study, preferred. Requires advanced knowledge, predominantly intellectual in character, in a field of science or learning acquired by a prolonged course of specialized intellectual instruction.
Experience: Experienced (minimum 2 years of job-related experience)
Experience performing basic research techniques, preferred.
Knowledge, Skills and Abilities:
Ability to work independently. Ability to analyze, summarize and interpret research findings in reports and communicate results. Knowledge of scientific integrity principles. Excellent time management and organization skills. Excellent interpersonal skills and demonstrated ability to work with others in a collaborative environment. Microsoft office software skills.
Preferred qualifications:
- Master's degree preferred in bioinformatics, computer science, data science, or a related discipline. - Experience with large-scale omics data (e.g., RNA-seq, genomics, epigenomics). - Strong programming skills in Python and/or R. - Experience in statistical analysis and data science. - Ability to work both independently and collaboratively in a research environment. Strong analytical, organizational, and problem-solving skills. - Excellent attention to detail and communication skills.
School/College/Division:
H06 - School of Medicine
Primary department:
H0632 - Oncology
Employment type:
  • Regular Employee
  • Job type: Full Time
  • Job category: Research
Funding/salary information:
  • Compensation type: Annual Salary
Working conditions:
Typical work environment may include a laboratory and/ or office environment. May require working non-standard business hours including evenings and weekends. May be required to travel to scientific conferences.
Job openings:
  • Number of openings: 1
  • Reposted position: No
  • Reposted reason: None (New Requisition)
  • Prior posting/requisition number:
Background check requirements:
University policy requires certain persons who are offered employment to undergo a background check, including a criminal history check, before starting work. If you are offered employment, the university will inform you if a background check is required.

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