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Research Assistant Deep Learning Jobs in Florida

Research Assistant

Miami, FL · On-site

$18.50 - $25.25/hr

S. and deep expertise in clinical pharmacology, psychiatry, neurology, acute pain, and metabolic ... The Research Assistant will ensure compliance with protocol and overall clinical objectives. In ...

Research Assistant

Miami, FL · On-site

$16 - $18/hr

S. and deep expertise in clinical pharmacology, psychiatry, neurology, acute pain, and metabolic ... The Research Assistant will ensure compliance with protocol and overall clinical objectives. In ...

Research Assistant

Miami, FL · On-site

$18 - $24/hr

S. and deep expertise in clinical pharmacology, psychiatry, neurology, acute pain, and metabolic ... The Research Assistant will ensure compliance with protocol and overall clinical objectives. In ...

Research Assistant (PRN)

Miami, FL · On-site

$18.50 - $25.25/hr

S. and deep expertise in clinical pharmacology, psychiatry, neurology, acute pain, and metabolic ... The Research Assistant will ensure compliance with protocol and overall clinical objectives. In ...

Research Assistant

Miami, FL · On-site

$18.50 - $25.25/hr

The Research Assistant will be providing program support in the form of classroom observations ... Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to ...

Research Assistant

Miami, FL · On-site

$18.50 - $25.25/hr

The Research Assistant will be providing program support in the form of classroom observations ... Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to ...

Research Assistant

Miami, FL · On-site

$18.50 - $25.25/hr

The Research Assistant 2 ensures compliance with University policies, rules, and regulations to ... Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to ...

Research Assistant

Miami, FL · On-site

$18.50 - $25.25/hr

The Research Assistant 2 ensures compliance with University policies, rules, and regulations to ... Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to ...

Research Assistant 3

Miami, FL · On-site

$18.50 - $25.25/hr

The Research Assistant 3 ensures compliance with University policies, rules, and regulations to ... Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to ...

Research Assistant 1

Miami, FL

$18.50 - $25.25/hr

The Research Assistant 1 contributes to research investigators by providing research and ... Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to ...

Research Assistant 3

Miami, FL · On-site

$18.50 - $25.25/hr

The Research Assistant 3 ensures compliance with University policies, rules, and regulations to ... Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to ...

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Research Assistant Deep Learning information

What is a research assistant deep learning?

Research Assistant Deep Learning jobs involve supporting research projects focused on artificial intelligence, specifically within the field of deep learning. These roles typically require assisting with data collection, preprocessing, running machine learning experiments, and analyzing results. Research assistants may also help with literature reviews, code development, and documentation. The position is often found in academic, industry, or research lab settings, and usually requires a solid foundation in programming, mathematics, and neural network concepts.

What does a research assistant deep learning do?

As a Research Assistant in Deep Learning, you can expect to work closely with research scientists and engineers to design, implement, and evaluate novel deep learning models. Typical daily tasks include data preprocessing, running experiments, analyzing results, and contributing to academic papers or presentations. You may also assist in developing codebases, conducting literature reviews, and collaborating with team members to solve technical challenges. The work environment is often collaborative and fast-paced, with opportunities to learn from experts and contribute to cutting-edge research projects.

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

To thrive as a Research Assistant in Deep Learning, you need a strong background in machine learning, programming (especially Python), and a relevant degree in computer science or a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, as well as experience with data preprocessing and GPU computing, are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills and qualities are essential for efficiently developing, testing, and improving advanced machine learning models in a fast-evolving field.

What is the difference between Research Assistant Deep Learning vs Research Assistant Machine Learning?

AspectResearch Assistant Deep LearningResearch Assistant Machine Learning
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; knowledge of neural networksBachelor's or Master's in Computer Science, Data Science, or related fields; foundational ML knowledge
Work EnvironmentResearch labs, universities, tech companies focusing on AI and neural networksResearch labs, universities, tech companies working on various ML algorithms
Employer & Industry UsageAI research, deep learning projects, neural network developmentGeneral machine learning applications, data analysis, predictive modeling

Research Assistant Deep Learning specializes in neural networks and AI-focused projects, while Research Assistant Machine Learning covers a broader range of algorithms and data analysis tasks. Both roles require similar educational backgrounds but differ in technical focus and application areas.

What are popular job titles related to Research Assistant Deep Learning jobs in Florida?

For Research Assistant Deep Learning jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Research Assistant Deep Learning jobs in Florida look for?

The top searched job categories for Research Assistant Deep Learning jobs in Florida are:

What cities in Florida are hiring for Research Assistant Deep Learning jobs?

Cities in Florida with the most Research Assistant Deep Learning job openings:

Infographic showing various Research Assistant Deep Learning job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Research Assistant Scientist

University of Florida

Gainesville, FL • On-site

Full-time

Re-posted 29 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

390th of 631 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