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Junior Bioinformatics Jobs in Florida (NOW HIRING)

UAB

BIOSTATISTICIAN LEAD

Tampa, FL

$73K - $120K/yr

The Lead has increased responsibility for mentoring and overseeing the work of junior staff ... Biostatistics, Statistics, Epidemiology, Computational Biology, Bioinformatics, Mathematics, or ...

Nemours-Children

Neuroscientist, Research

Orlando, FL · On-site

$120 - $180/hr

... and bioinformatics platforms * Interpret findings and translate them into actionable insights for further research and development * Team Leadership & Mentorship * Mentor and supervise junior ...

UAB

RESEARCHER LEAD

Tampa, FL

Mentoring students and junior laboratory members. Contributing to the strategic planning and ... advanced microscopy, and bioinformatics. The successful candidate will collaborate with ...

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Junior Bioinformatics information

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$14.2K

$39.2K

$65.8K

How much do junior bioinformatics jobs pay per year?

As of Aug 30, 2026, the average yearly pay for junior bioinformatics in Florida is $39,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $26,900.00 and $43,000.00 per year, depending on experience, location, and employer.

What is a junior bioinformatics?

A Junior Bioinformatics job is an entry-level position that involves analyzing biological data using computational tools and techniques. Professionals in this role assist in tasks such as genome sequencing, protein structure analysis, and developing algorithms for biological research. They typically work in research institutions, biotech companies, or healthcare settings, collaborating with scientists and data analysts. Junior bioinformaticians are expected to have a background in biology, computer science, or a related field, along with proficiency in programming languages like Python or R. This role serves as a foundation for advancing into more specialized bioinformatics careers.

What does a junior bioinformatics do?

A typical day for a Junior Bioinformatics professional involves processing and analyzing biological data sets, using specialized software and coding scripts to interpret results. You’ll often collaborate closely with molecular biologists, data scientists, and other team members to support ongoing research projects. Tasks might include troubleshooting data pipelines, generating reports, and contributing to meetings that discuss research findings. The work environment is generally team-oriented and project-driven, offering opportunities to learn from experienced colleagues and gain hands-on experience with the latest technologies in genomics and data analysis.

What are the key skills and qualifications needed to thrive as a junior bioinformatics?

To thrive as a Junior Bioinformatics professional, you need a solid background in biology and computer science, typically supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools such as BLAST, Galaxy, R, and Python, as well as experience with databases like GenBank, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills are important for translating complex data into actionable insights and collaborating with interdisciplinary teams. These competencies are critical for accurately analyzing biological data and contributing to research and development projects in life sciences.

What are the most commonly searched types of Bioinformatics jobs in Florida?

The most popular types of Bioinformatics jobs in Florida are:

What are popular job titles related to Junior Bioinformatics jobs in Florida?

For Junior Bioinformatics jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Junior Bioinformatics jobs in Florida look for?

The top searched job categories for Junior Bioinformatics jobs in Florida are:

What cities in Florida are hiring for Junior Bioinformatics jobs?

Cities in Florida with the most Junior Bioinformatics job openings:

Junior Bioinformatics jobs near you
Infographic showing various Junior Bioinformatics job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $39,204 per year, or $18.8 per hour.

Research Assistant Scientist

University of Florida

Gainesville, FL • On-site

Full-time

Re-posted 20 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 627 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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