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Diabetes Research Assistant Jobs (NOW HIRING)

Marshall University

Research Assistant

Huntington, WV · On-site

$18.75 - $25.75/hr

... diabetes. The successful candidate will contribute to projects investigating the cellular and ... Primary Responsibilities The Research Assistant will: Manage and maintain mouse colonies, including ...

Marshall University

Research Assistant

Huntington, WV · On-site

$18.75 - $25.75/hr

... Research Assistant Classification Title MURC-Biological Scientists Department SOM-BioMedical ... diabetes. The successful candidate will contribute to projects investigating the cellular and ...

Geisinger

Research Assistant

Danville, PA · On-site

$22 - $30.25/hr

... diabetes, cardiovascular and respiratory conditions, substance use disorders, and Lyme disease. The ... Research Assistant will assist with CCEH studies and additional research projects in the Department ...

The University of Chicago

Research Assistant

Chicago, IL · On-site

$19.23 - $24.04/hr

Funded projects include STI and HIV testing, care and treatment, and diabetes screening in the ... * Assist with data entry and management for clinical, social medicine, and research teams.

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How much do diabetes research assistant jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for diabetes research assistant in the United States is $26.17, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $30.53 per hour, depending on experience, location, and employer.

What is a diabetes research assistant?

A Diabetes Research Assistant supports research studies focused on diabetes by collecting and analyzing data, assisting in laboratory experiments, and coordinating clinical trials. They work under the supervision of lead researchers or principal investigators to ensure accuracy and compliance with study protocols. Their role may also involve recruiting participants, maintaining records, and preparing reports for publication. This position is critical in advancing diabetes treatments and improving patient outcomes.

What are the typical daily responsibilities of a diabetes research assistant?

As a Diabetes Research Assistant, your daily activities may include collecting and processing biological samples, assisting with patient recruitment and consent, maintaining accurate research records, and managing study data. You might also help administer patient tests, monitor adherence to research protocols, and coordinate with multidisciplinary teams, including physicians, nurses, and other researchers. Tasks can vary based on the stage of the study, but attention to detail and consistent documentation are always key. Regular communication with both study participants and team members is essential to smooth project progression and participant care.

What are the key skills and qualifications needed to thrive as a diabetes research assistant?

A Diabetes Research Assistant typically needs a background in life sciences or health-related fields, with experience in laboratory techniques and clinical research methodologies. Familiarity with data collection tools, statistical analysis software (such as SPSS or SAS), and compliance with regulations like HIPAA and Good Clinical Practice is often expected. Excellent attention to detail, organization, and strong verbal and written communication skills help ensure high-quality results and teamwork. Mastering both technical and interpersonal competencies is crucial for supporting successful research studies and ensuring data integrity.

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Diabetes Research Assistant jobs near you
Infographic showing various Diabetes Research Assistant job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, and 12% Part Time. Highlights an 98% In-person, 1% Hybrid, and 1% Remote job distribution, with an average salary of $54,434 per year, or $26.2 per hour.

Research Assistant Scientist

University of Florida

Gainesville, FL • On-site

Full-time

Re-posted 14 days ago

University Of Florida rating

7.2

Company rating: 7.2 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

386th of 622 rated colleges and universities

Job description

Research Assistant Scientist
Job no: 540847
Work type: Non-Tenure-Track Faculty
Location: Main Campus (Gainesville, FL)
Categories: Medicine/Physicians
Department:29080100 - MD-PATHOLOGY-GENERAL
Classification Title:Research Assistant Scientist
Classification Minimum Requirements:
  • Ph.D. in Computer Science, Biomedical Informatics, Data Science, Biomedical Engineering, Electrical Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field.
  • Demonstrated experience developing AI and machine learning models for biomedical applications.

Job Description:
The University of Florida Diabetes Institute (UFDI) invites applications for a full-time, non-tenure-track Assistant Scientist to join an interdisciplinary research environment focused on advancing the prevention, prediction, and treatment of diabetes through artificial intelligence, computational biology, and precision medicine. The successful candidate will contribute to the development and application of innovative AI and machine learning approaches that accelerate discovery across basic, translational, and clinical diabetes research
Research efforts may support initiatives such as:
  • AI-enabled discovery of novel diabetes therapies
  • Precision medicine for Type 1 and Type 2 diabetes
  • Human pancreas imaging and spatial biology
  • Digital pathology and computational tissue analysis
  • Clinical decision support using EHR data
  • Translational validation using human biospecimens and experimental model system
  • Artificial intelligence and machine learning for diabetes research, including Type 1 and Type 2 diabetes
  • Computational pathology and digital pathology using whole slide imaging (WSI)
  • Spatial biology, spatial transcriptomics, and multi-omics data integration
  • Large language models (LLMs) and foundation models for biomedical research
  • Electronic Health Record (EHR) analytics and clinical data integration
  • Biomedical image analysis and quantitative microscopy
  • High-performance computing (HPC) and scalable AI pipelines
  • Development of reproducible software tools and computational workflows for biomedical research

Develop novel AI, machine learning, and deep learning methods to address complex biomedical questions in diabetes.
Design and implement computational tools for integrating imaging, genomic, transcriptomic, proteomic, metabolomic, and clinical datasets.
Develop scalable software applications and maintain research code using modern software engineering practices.
Apply AI methods to whole slide images, microscopy datasets, spatial transcriptomics, and EHR-derived clinical data.
Collaborate with multidisciplinary teams of clinicians, computational scientists, engineers, statisticians, and laboratory investigators.
Lead and participate in collaborative research projects spanning basic science, translational research, and clinical applications.
Prepare scientific manuscripts, conference presentations, and competitive grant applications.
Mentor graduate students, postdoctoral fellows, research staff, and trainees.
Expected Salary:
Commensurate with education and experience
Required Qualifications:
  • Ph.D. in Computer Science, Biomedical Informatics, Data Science, Biomedical Engineering, Electrical Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field.
  • Demonstrated experience developing AI and machine learning models for biomedical applications.
  • Strong programming experience in Python and/or R.
  • Experience with Git/GitHub and collaborative software development.
  • Experience working in Linux and high-performance computing environments.
  • Evidence of scholarly productivity through peer-reviewed publications.

Preferred:
  • Experience applying AI or machine learning to diabetes, metabolic disease, immunology, or other complex biomedical diseases.
  • Experience with digital pathology, computational pathology, whole slide image analysis, or quantitative microscopy.
  • Experience integrating multi-modal datasets, including genomics, transcriptomics, spatial transcriptomics, proteomics, metabolomics, imaging, and EHR data.
  • Experience with modern deep learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, and SciPy.
  • Familiarity with convolutional neural networks (CNNs), graph neural networks (GNNs), transformer architectures, foundation models, and large language models (LLMs).
  • Experience developing reproducible biomedical software and AI workflows.
  • Demonstrated success contributing to grant proposals or securing research funding.
  • Experience mentoring students and junior investigators.

Special Instructions to Applicants:
In order to be considered, you must upload your cover letter and resume.
Applicants should apply online and include a curriculum vitae, a letter outlining interests, and three letters of reference. The letters may also be sent directly to Dr. Todd Brusko (tbrusko@ufl.edu), Search Committee Chair, and copy Stacey Oliver (oliversl@ufl.edu).
The successful candidate will be required to provide an official transcript to the hiring
department upon hire. A transcript will not be considered "official" if a designation of "Issued to
Student" is visible. Degrees earned from educational institutions outside of the United States must
be evaluated by a professional credentialing service provider approved by the National Association
of Credential Evaluation Services (NACES), which can be found at
http://www.naces.org/.
The Search Committee will accept applications until the position is filled. Applications will be reviewed on an ongoing basis by the committee.
Health Assessment Required:No
Advertised: 07 Aug 2026 Eastern Daylight Time
Applications close:
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About University of Florida

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The University of Florida is one of the top ranked public universities in the United States (ranked top 5 amongst public universities in 2023 US news and world report). It is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus to facilitate interdisciplinary collaboration. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that's comfortable for families, yet attractive for young professionals.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Gainesville, FL, US

Year founded

1853

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