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Bioinformatics Machine Learning Internship Jobs in Gainesville, FL

University of Florida

OPS Engineer

Gainesville, FL · On-site

$35.92 - $40.71/hr

Strong understanding of the breadth of machine learning to include supervised, unsupervised ... interns * Professional experience with motion capture systems, visual servoing applications ...

All JobsBioinformatics Machine Learning JobsBioinformatics Machine Learning Internship JobsBioinformatics Machine Learning Internship Jobs in Gainesville, FL

Bioinformatics Machine Learning Internship information

See Gainesville, FL salary details

$23.1K

$38.6K

$79.7K

How much do bioinformatics machine learning internship jobs pay per year?

As of Aug 6, 2026, the average yearly pay for bioinformatics machine learning internship in Gainesville, FL is $38,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,400.00 and $41,700.00 per year, depending on experience, location, and employer.

What is a bioinformatics machine learning internship?

A Bioinformatics Machine Learning Internship is a temporary position, usually for students or recent graduates, where interns gain hands-on experience applying machine learning techniques to biological data. Interns may work on projects like analyzing genomic sequences, predicting protein structure, or developing algorithms for biomedical research. The role involves coding, data analysis, and collaborating with scientists to solve real-world biological problems. It offers exposure to both computational methods and biological sciences, preparing interns for careers in bioinformatics, data science, or research.

What are the key skills and qualifications needed to thrive as a bioinformatics machine learning intern, and why are they important?

To thrive as a Bioinformatics Machine Learning Intern, you need a solid background in biology, statistics, and computer science, typically supported by relevant coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of machine learning frameworks such as TensorFlow or scikit-learn are highly valued. Attention to detail, problem-solving skills, and effective communication help interns collaborate on interdisciplinary teams and interpret complex datasets. These skills ensure interns can contribute meaningfully to research projects, derive insights from biological data, and communicate findings clearly.

What are some typical projects or tasks a bioinformatics machine learning intern might work on during their internship?

As a Bioinformatics Machine Learning Intern, you'll often contribute to projects that involve developing and testing algorithms for analyzing biological data, such as genomic sequences or protein structures. Typical tasks may include preprocessing large datasets, implementing machine learning models to identify patterns or make predictions, and visualizing results for team discussions. Interns frequently collaborate with both computational scientists and experimental biologists, gaining exposure to interdisciplinary teamwork and real-world applications. This hands-on experience helps interns build both technical and domain-specific skills, preparing them for advanced roles in bioinformatics or data science.

What is the difference between Bioinformatics Machine Learning Internship vs Bioinformatics Data Analyst Internship?

AspectBioinformatics Machine Learning InternshipBioinformatics Data Analyst Internship
Required SkillsProgramming, machine learning, bioinformatics toolsData analysis, statistical skills, bioinformatics tools
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch labs, healthcare, biotech firms
Industry UsageDeveloping algorithms, predictive models in bioinformaticsAnalyzing biological data, generating reports

While both internships involve bioinformatics, the Bioinformatics Machine Learning Internship focuses on developing machine learning models and algorithms, whereas the Bioinformatics Data Analyst Internship emphasizes analyzing biological data and generating insights. Both roles require programming and bioinformatics skills but differ in their core focus and application.

What are popular job titles related to Bioinformatics Machine Learning Internship jobs in Gainesville, FL? For Bioinformatics Machine Learning Internship jobs in Gainesville, FL, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Machine Learning Internship jobs in Gainesville, FL look for? The top searched job categories for Bioinformatics Machine Learning Internship jobs in Gainesville, FL are:
What cities near Gainesville, FL are hiring for Bioinformatics Machine Learning Internship jobs? Cities near Gainesville, FL with the most Bioinformatics Machine Learning Internship job openings:
Bioinformatics Machine Learning Internship jobs near you
Infographic showing various Bioinformatics Machine Learning Internship job openings in Gainesville, FL as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $38,581 per year, or $18.5 per hour.

Postdoctoral Associate in AI Bioinformatics and Single Cell Multi-omics

University of Florida

Gainesville, FL • On-site

Full-time

Re-posted 16 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

383rd of 615 rated colleges and universities

Job description

Job Summary:
The University of Florida is seeking a Postdoctoral Associate in AI Bioinformatics and Single Cell Multi-omics to join Dr. Feifei Xiao's laboratory in the Department of Biostatistics. The role focuses on developing machine learning methods for analyzing large-scale single-cell data and involves methodology development, data analysis, and research presentations.
Responsibilities:
• Develop machine learning and deep learning methods for analyzing large-scale single-cell DNA-seq, RNA-seq, ATAC-seq and spatial transcriptome data.
• Develop modern statistical approaches for integration of multi-omics datasets and causal inference.
• Conduct methodology and software development.
• Perform data analysis.
• Write manuscripts.
• Present research at conferences.
• Assist with grant applications.
Qualifications:
Required:
• PhD in Biostatistics, Computer Science, Bioinformatics, Statistics, Mathematics or related field.
Preferred:
• Proficient in R/Python.
• Prior experience in genetic or genomic data analysis.
Company:
University of Florida is a public land-grant research university in Gainesville, Florida. Founded in 1853, the company is headquartered in Gainesville, USA, with a team of 10001+ employees. The company is currently Late Stage.

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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.

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Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Gainesville, FL, US

Year founded

1853

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