ZipRecruiter

Log In

1

Clinical Data Assistant Jobs in Inkster, MI (NOW HIRING)

AlpineCare

Clinical Manager

Troy, MI

Collect, analyze, and report clinical data to the Administrator; develop and monitor Plans of ... Ensure alignment with agency policies, procedures, and professional standards * Assist the ...

Georgetown University

Data Analyst

Detroit, MI · On-site

$75.25/hr

Job Overview Data Analyst for Infectious Diseases Clinical Trials Unit will work with and assist the Clinical Research Coordinator, Regulatory Specialist, and Clinical Trial Manager by entering data ...

AlpineCare

Clinical Manager

Troy, MI · On-site

Collect, analyze, and report clinical data to the Administrator; develop and monitor Plans of ... Ensure alignment with agency policies, procedures, and professional standards * Assist the ...

previous pagenext page

Showing results 21-40

All JobsClinical Data JobsClinical Data Assistant JobsClinical Data Assistant Jobs in Inkster, MI

Clinical Data Assistant information

What is a clinical data assistant?

Clinical Data Assistants are professionals who support the collection, management, and analysis of clinical data in healthcare and research settings. They ensure that data from clinical trials or medical records are accurately recorded, organized, and compliant with regulatory standards. Their work is crucial for maintaining data integrity and supporting the research process, often involving data entry, validation, and quality control tasks. Clinical Data Assistants collaborate with clinical teams, data managers, and other stakeholders to facilitate smooth data flow and support clinical research objectives.

What are some typical challenges a clinical data assistant might face when managing large volumes of clinical trial data?

Clinical Data Assistants often encounter challenges such as ensuring data accuracy while handling large datasets, dealing with incomplete or inconsistent information from various sources, and adhering to strict regulatory guidelines. They must be diligent in data entry, verification, and resolving discrepancies, often collaborating closely with clinical research coordinators and data managers. Effective communication and attention to detail are essential to maintain high data quality and support the overall success of clinical trials.

What are the key skills and qualifications needed to thrive as a clinical data assistant, and why are they important?

To excel as a Clinical Data Assistant, you need a solid understanding of data management, attention to detail, and familiarity with clinical research processes, typically supported by a degree in a health or life science field. Proficiency in electronic data capture (EDC) systems, Microsoft Excel, and knowledge of Good Clinical Practice (GCP) guidelines or relevant certifications are typical requirements. Strong organizational skills, communication, and the ability to work collaboratively within multidisciplinary teams make candidates stand out. These competencies are crucial for ensuring accurate data collection, regulatory compliance, and smooth execution of clinical studies.

What is the difference between Clinical Data Assistant vs Clinical Data Coordinator?

AspectClinical Data AssistantClinical Data Coordinator
CertificationsOften requires basic data management or healthcare certificationsTypically requires similar certifications, with additional experience
Work EnvironmentHospitals, clinics, research labsResearch institutions, hospitals, clinical trial sites
Job ResponsibilitiesData entry, data cleaning, supporting data collectionOverseeing data quality, managing databases, coordinating data flow

The Clinical Data Assistant primarily handles data entry and support tasks, while the Clinical Data Coordinator manages data quality and oversees data management processes. Both roles are essential in clinical research settings and often require similar certifications and work environments.

What job categories do people searching Clinical Data Assistant jobs in Inkster, MI look for?

The top searched job categories for Clinical Data Assistant jobs in Inkster, MI are:

What cities near Inkster, MI are hiring for Clinical Data Assistant jobs?

Cities near Inkster, MI with the most Clinical Data Assistant job openings:

Clinical Data Assistant jobs near you
Infographic showing various Clinical Data Assistant job openings in Inkster, MI as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Assistant Scientist / Assistant Professor - Computational Biology

Henry Ford Medical Group

Detroit, MI

Full-time

Re-posted 10 days ago

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.

Additional Information
  • Organization: Henry Ford Medical Group
  • Department: Dermatology - New Center Det
  • Shift: Day Job
  • Union Code: Not Applicable

Apply