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Temporary Diabetes Research Scientist Jobs (NOW HIRING)

Mercer University

Research Scientist

Atlanta, GA · On-site

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

Mercer Medicine

Research Scientist

Atlanta, GA · On-site

$70 - $90/hr

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

Mercer University

Research Scientist

Atlanta, GA

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

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How much do temporary diabetes research scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for temporary 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 does a temporary diabetes research scientist do?

A Temporary Diabetes Research Scientist conducts scientific studies focused on understanding, preventing, and treating diabetes during a set contract period. Their work may involve designing experiments, collecting and analyzing data, and collaborating with other scientists or medical professionals. They often work in academic, clinical, or pharmaceutical research settings, contributing to projects that seek new insights into diabetes mechanisms or testing potential therapies. The temporary nature of the role means assignments are usually project-based or for a specific timeframe.

What are the key skills and qualifications needed to thrive as a temporary diabetes research scientist, and why are they important?

To thrive as a Temporary Diabetes Research Scientist, you need a solid background in biomedical sciences, experience with experimental design, and often a relevant advanced degree such as a PhD or MSc. Familiarity with laboratory techniques, data analysis software (such as SPSS or R), and compliance with research protocols and regulatory standards is essential. Attention to detail, strong problem-solving skills, and effective collaboration are standout soft skills in this field. These competencies are crucial for advancing diabetes research, ensuring accurate results, and contributing to successful project outcomes within a limited timeframe.

What are some common challenges faced by temporary diabetes research scientists, and how can they effectively navigate them?

Temporary diabetes research scientists often face the challenge of quickly adapting to ongoing projects and integrating with established research teams. They must rapidly familiarize themselves with current study protocols, laboratory procedures, and data analysis methods unique to diabetes research. Building strong communication with permanent staff and proactively seeking feedback can help them overcome these hurdles. Additionally, staying organized and prioritizing tasks ensures they make meaningful contributions within the limited timeframe of their appointment.

What is the difference between Temporary Diabetes Research Scientist vs Diabetes Research Associate?

AspectTemporary Diabetes Research ScientistDiabetes Research Associate
CredentialsBachelor's or Master's in Life Sciences, relevant research experienceBachelor's or Master's in related fields, research experience preferred
Work EnvironmentLaboratories, research facilities, clinical trial sitesLaboratories, research institutions, hospitals
Employer & IndustryPharmaceutical companies, biotech firms, research institutesAcademic institutions, hospitals, research organizations
Common Search & ComparisonYesYes

The Temporary Diabetes Research Scientist and Diabetes Research Associate roles both involve working in research settings related to diabetes. The main differences lie in job titles and specific responsibilities, but they often require similar educational backgrounds and work environments. Both positions are common in pharmaceutical, biotech, and academic sectors focused on diabetes research.

What cities are hiring for Temporary Diabetes Research Scientist jobs?

Cities with the most Temporary Diabetes Research Scientist job openings:

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

The most popular types of Diabetes Research Scientist jobs are:

What states have the most Temporary Diabetes Research Scientist jobs?

States with the most job openings for Temporary Diabetes Research Scientist jobs include:

Temporary Diabetes Research Scientist jobs near you

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

387th of 627 rated colleges and universities

People enjoy working here

Good employer

Recommended by students

Learn more about University of Floridaexternal

Full-time

Re-posted 21 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:
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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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