2

Entry Level Diabetes Research Scientist Jobs (NOW HIRING)

Research Scientist Department: Dean's Office, College of Pharmacy College/Division: College Of ... diabetes, and pulmonary hypertension. Knowledge/Skills/Abilities: * Solid knowledge in ...

Research Scientist Department: Dean's Office, College of Pharmacy College/Division: College Of ... diabetes, and pulmonary hypertension. Knowledge/Skills/Abilities: * Solid knowledge in ...

Train and mentor entry-level scientists and technicians to complete tasks. * Independently lead all aspects of research and development projects, and the transfer through the product development ...

Train and mentor entry-level scientists and technicians to complete tasks. * Independently lead all aspects of research and development projects, and the transfer through the product development ...

... scientific monographs. 5. Advances expertise through continued education, training, and research ... Department Specifics Participates in recruitment and logistics of various Type 1 diabetes research ...

Be Seen First

Our existing research includes uveal melanoma (UM), retinoblastoma (RB), diabetic macular edema ... Scientific literature reviews and exploration of emerging technologies * Experimental design and ...

New

next page

Showing results 1-20

Entry Level Diabetes Research Scientist information

See salary details

$50.5K

$130.1K

$174K

How much do entry level diabetes research scientist jobs pay per year?

As of Aug 31, 2026, the average yearly pay for entry level diabetes research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Diabetes Research Scientist vs Entry Level Clinical Research Coordinator?

AspectEntry Level Diabetes Research ScientistEntry Level Clinical Research Coordinator
Required CredentialsBachelor's degree in biology, chemistry, or related field; some roles prefer or require a master'sBachelor's degree in health sciences, nursing, or related field; certification may be preferred
Work EnvironmentLaboratories, research facilities, academic or pharmaceutical settingsClinical trial sites, hospitals, clinics, research organizations
Employer & Industry UsagePharmaceutical companies, biotech firms, research institutionsHospitals, clinical research organizations, academic medical centers

While both roles involve research and clinical settings, Entry Level Diabetes Research Scientists focus on laboratory-based studies related to diabetes, whereas Entry Level Clinical Research Coordinators manage and oversee clinical trials involving patient participation. The roles differ mainly in their focus—laboratory research versus clinical trial management—though they share similar educational backgrounds and work environments.

More about Entry Level Diabetes Research Scientist jobs

What are the most commonly searched types of Diabetes Research Scientist jobs?

The most popular types of Diabetes Research Scientist jobs are:

Infographic showing various Entry Level Diabetes Research Scientist job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Assistant Scientist

Gainesville, FL • On-site


University of Florida
Colleges, Universities, and Professional Schools • 5 - 10K employees

7.2

Company rating: 7.2 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

388th of 627 rated colleges and universities

People enjoy working here

Good employer

Recommended by students


Full-time

Re-posted 22 days ago


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:
Whatsapp Facebook LinkedIn Email App

University of Florida logo

About University of Florida

Sourced by ZipRecruiter

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


What University Of Florida employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom