ZipRecruiter

Log In

1

Clinical R Programmer Jobs in Michigan (NOW HIRING)

Imh

Medical Physicist PRN

Almont, MI · On-site

Actively works as a Medical physicist and provides routine clinical radiation therapy physicist ... General programming experience (SQL, Python, scripting, C/C++/C#). * Troubleshooting linac network ...

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 ...

University of Michigan

Lab Coordinator

Ann Arbor, MI · On-site

$31K - $33K/yr

... clinical psychology, developmental psychology, or public health * Experience in several (but not all) of the following areas: statistical coding experience (e.g., R, SAS), computer programming ...

University of Michigan

Lab Coordinator

Ann Arbor, MI · On-site

... clinical psychology, developmental psychology, or public health * Experience in several (but not all) of the following areas: statistical coding experience (e.g., R, SAS), computer programming ...

next page

Showing results 1-20

People also search for

All JobsClinical R Programmer JobsClinical R Programmer Jobs in Michigan

Clinical R Programmer information

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 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 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 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
Assistant Scientist / Assistant Professor - Computational Biology

Assistant Scientist / Assistant Professor - Computational Biology

Henry Ford Health System

Detroit, MI • On-site

Full-time

Posted 21 days ago

Henry Ford Health rating

7.0

Company rating: 7.0 out of 10

Based on 543 frontline employees who took The Breakroom Quiz

402nd of 865 rated healthcare providers

Job description

Henry Ford Health
Henry Ford Health (HFH) in Detroit, Michigan, is one of the nation's leading comprehensive health systems, recognized for excellence in clinical care, research, and education. The Center for Cutaneous Biology and Immunology (CCBI) is a dynamic, multidisciplinary research program dedicated to advancing our understanding of skin biology and immunology, cancer immunology, and the functional genomics that govern immune cell behavior in cancer as well as autoimmune and inflammatory diseases. Our team fosters an innovative, collaborative, diverse, and open-minded research environment in partnership with Michigan State University. We are supported by multiple NIH-funded grants and active communities of immunologists, molecular biologists, biochemists, data scientists, physician scientists, and computational biologists. Our mission is to advance translational research that leads to meaningful improvements in clinical care.
Position Description
We invite applications for an Assistant Professor / Assistant Scientist with expertise in computational biology, statistical genetics, genomics, and AI-driven medicine. We seek a highly motivated individual who develops and applies state-of-the-art computational methods to complex, large-scale biological datasets. The successful candidate will contribute to high-impact translational research programs and lead independent research efforts, and will hold a joint faculty appointment (Assistant Scientist) with Michigan State University as part of the HFH-MSU Health Sciences partnership.
Key Responsibilities
  • Develop and apply computational, statistical, and AI/ML approaches to analyze diverse biological datasets, including:
    • GWAS, whole-genome/exome sequencing
    • DNA methylation and epigenomic profiling
    • Bulk and single-cell RNA-seq, spatial transcriptomics
    • ATAC-seq (bulk and single-cell), proteomics, CyTOF, and IMC
    • Histological and radiological imaging data
    • Clinical and epidemiological datasets
  • Lead independent research projects and contribute to collaborative team science initiatives.
  • Pursue external funding (e.g., NIH, NSF, foundations) to support research programs.
  • Mentor trainees and collaborate closely with investigators across HFH and Michigan State University.

Required Qualifications
  • PhD in biostatistics, bioinformatics, computational biology, computer science, or a related discipline.
  • Strong research track record in genetics, multi-omics integration, and/or AI applications to biological or clinical data, as demonstrated by peer-reviewed publications and conference presentations.
  • Demonstrated ability-or strong potential-to secure external research funding.
  • Proficiency in programming and analytical languages/platforms (e.g., R, Python, TensorFlow, PyTorch).
  • Experience working in Unix/Linux environments, including shell scripting (Bash, awk, sed).
  • Familiarity with tools for genomic, epigenomic, transcriptomic, and proteomic analysis, including next-generation sequencing pipelines (DNA-seq, RNA-seq, ATAC-seq, ChIP-seq).
  • Experience with single-cell and spatial transcriptomics, eQTL/pQTL analysis, and multimodal data integration.
  • Familiarity with imaging analytics (e.g., spatial transcriptomics, H&E, IMC, radiological imaging).
  • Experience in human subjects research, healthcare data, epidemiology, or biomedical applications.
  • Excellent communication, interpersonal, organizational, and collaborative skills, with the ability to work effectively with colleagues of diverse technical and scientific backgrounds.

How to Apply:
Please submit your CV, cover letter, and research statement (past accomplishments, current work, and future research vision) to:
Dr. Qing-Sheng Mi, MD, PhD
Director, Center for Cutaneous Biology and Immunology (CCBI)
Email: qmi1@hfhs.org
Equal Employment Opportunity/Affirmative Action Employer
Henry Ford Health is committed to the fair and equitable treatment of all individuals and prohibits discrimination based on race, color, creed, religion, age, sex, national origin, disability, veteran status, marital or family status, gender identity, sexual orientation, height, weight, genetic information, or any other protected category in accordance with federal and state laws.

What Henry Ford Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Henry Ford Health logo

About Henry Ford Health

Sourced by ZipRecruiter

Henry Ford Health provides a full continuum of services from Primary and Preventative care, to Complex and Cpecialty care, Health Insurance, a full suite of home health offerings, Virtual care, Pharmacy, Eye care and other Healthcare retail. It is one of the Nation’s leading Academic Medical Centers, recognized for Clinical excellence in Cancer care, Cardiology and Cardiovascular Surgery, Neurology and Neurosurgery, Orthopedics and Sports medicine, and Multi organ transplants. Consistently ranked among the top five NIH funded institutions in Michigan, Henry Ford Health engages in more than 2,000 research projects annually. Equally committed to educating the next generation of Health Professionals, Henry Ford Health trains more than 4,000 Medical students, Residents and fellows every year across 50+ accredited programs. With more than 33,000 valued team members, Henry Ford Health is also among Michigan’s largest and most Diverse employers, including nearly 6,000 physicians and researchers from the Henry Ford Medical Group, Henry Ford Physician Network and Jackson Health Network.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1915

View All Henry Ford Health Jobs

Apply