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Clinical R Programmer Jobs in Clinton Township, MI

Oakland Community College

Simulation Specialist

MI · On-site

$43.52/hr

Minimum of 1 year of experience in healthcare industry, simulation or clinical preferred. We are ... Classified, Exempt (Non-union), Faculty, Maintenance, Operating Engineers, Public Safety, Teamsters ...

Getinge

Maintenance Technician I

Fraser, MI · On-site

$18 - $22/hr

... R & D automated equipment. Job Responsibilities and Essential Duties : * Locates sources of ... and engineering specifications: troubleshooting malfunctions. * Removal and replacement of ...

New

Getinge

Maintenance Technician I

Fraser, MI · On-site

$18 - $22/hr

... R & D automated equipment. Job Responsibilities and Essential Duties : * Locates sources of ... and engineering specifications: troubleshooting malfunctions. * Removal and replacement of ...

New

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All JobsClinical R Programmer JobsClinical R Programmer Jobs in Clinton Township, MI

Clinical R Programmer information

See Clinton Township, MI salary details

$24

$64

$101

How much do clinical r programmer jobs pay per hour?

As of Jul 17, 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 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 job categories do people searching Clinical R Programmer jobs in Clinton Township, MI look for? The top searched job categories for Clinical R Programmer jobs in Clinton Township, MI are:
Clinical R Programmer jobs near you
Senior Business Intelligence Analyst (Hybrid/Troy, MI) - Health Alliance Plan

Senior Business Intelligence Analyst (Hybrid/Troy, MI) - Health Alliance Plan

HAP (Health Alliance Plan)

Troy, MI • On-site

Other

Posted 25 days ago

Job description

GENERAL SUMMARY:

The Senior Business Intelligence Analyst is an interdependent member of the analytics community who helps build a data driven culture within the Henry Ford Health and Health Alliance Plan. Working cross collaboratively, the Sr. Business Intelligence Analyst gathers data, generates reports, and provides actionable interpretation of information to customers. They are comfortable and effective working with and presenting information to customers at all levels, including but not limited to executives, physicians, clinical staff, peers, and external oversight/regulatory bodies. They develop comprehensive routine and ad-hoc reports and implement new or improved reporting processes to support strategic goals or key operations. The Sr. Business Intelligence Analyst fulfills complex requests, works effectively with ambiguity, manages deadlines, and maintains timeliness and quality of delivery. They anticipate and can quickly adapt to evolving needs of the customer. They consistently demonstrate excellent analytical and problem-solving skills while maintaining keen attention to detail.

PRINCIPLE DUTIES AND RESPONSIBILITIES:

  • Tells a story with data insights that is clear and discerning to help leaders make actionable decisions.
  • Works collaboratively with leaders and teams to understand how data solutions can make a positive impact; consults, designs metrics and reports, and builds solutions as needed.
  • Research, review, and analyze the effectiveness and efficiency of existing report procedures and develops strategies for enhancing or further leveraging these processes.
  • Documents process flows and ensures they are monitored for accuracy and quality.
  • Provides end-user training on existing tools.
  • Routinely participates in webinars and other educational resources to enhance understanding of current developments in healthcare environment.
  • Generates suggestions for improving work efficiency and promoting quality; demonstrates accuracy and thoroughness.
  • Applies statistical concepts and relays findings, resulting in actionable information.
  • Serves as a liaison between Analytics and Business leaders.
  • Self-manage project and timelines.
  • Other duties as assigned.

EDUCATION/EXPERIENCE REQUIRED:

  • Bachelor's Degree in Healthcare, Business Administration, Computer Science, Engineering, Mathematics, Statistics, or Applied Science, required.
  • Minimum of three (3) years of experience in a healthcare or business setting.
  • Proficient in the use of Enterprise Databases (structured, hierarchical, unstructured, Object-Oriented) or shared data repository.
  • Proficient in working with data to solve tangible business problems using tools like SQL, R or Python programming languages, data visualization software, and statistical analysis.
  • Expert in the use of BI tools and report building, (PowerBI, Tableau, Qlik, Alteryx, or a similar tool).
  • Proficient in the uses of Microsoft Office products; including Excel and Power Point.
  • Skilled at presenting complex information to diverse audiences.
  • Knowledge of advanced computer programming concepts preferred.
  • Working knowledge of Microsoft Power BI or another BI tool (HAP and Henry Ford Health primarily uses Microsoft Tools) preferred.
  • Manage and maintain code repositories, familiar with merging, pushing, pulling, branching, staging and code commenting preferred.
  • Skilled at presenting complex information to diverse audiences preferred.
  • Able to develop multidimensional semantic layer and analytics query objects for end-users preferred.
  • Proven customer service experience with strong active listening skills preferred.
Additional Information
  • Organization: HAP (Health Alliance Plan)
  • Department: Data Analytics COE
  • Shift: Day Job
  • Union Code: Not Applicable

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