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Bioinformatics Machine Learning Internship information

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 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 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 the most commonly searched types of Bioinformatics Machine Learning jobs in Florida? The most popular types of Bioinformatics Machine Learning jobs in Florida are:
What are popular job titles related to Bioinformatics Machine Learning Internship jobs in Florida? For Bioinformatics Machine Learning Internship jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Machine Learning Internship jobs in Florida look for? The top searched job categories for Bioinformatics Machine Learning Internship jobs in Florida are:
What cities in Florida are hiring for Bioinformatics Machine Learning Internship jobs? Cities in Florida 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 Florida as of May 2026, with employment types broken down into 3% As Needed, 88% Full Time, and 9% Part Time. Highlights an 99% Physical, and 1% Hybrid job distribution.
Open Rank Tenure-earning Faculty in the Department of Biostatistics & Bioinformatics

Open Rank Tenure-earning Faculty in the Department of Biostatistics & Bioinformatics

H. Lee Moffitt Cancer Center

Tampa, FL • On-site

$76.66 - $95.83/hr

Full-time

Posted 28 days ago

Moffitt Cancer Center rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

71st of 864 rated healthcare providers

Job description

The growing Department of Biostatistics and Bioinformatics and corresponding Shared Resource currently has 17 faculty and approximately 26 BBSR staff members engaged in a wide range of statistical and bioinformatics research and collaborations on clinical, translational, population and biological studies in cancer prevention, early detection, treatment, prognosis and survivorship, drawing on expertise in novel therapeutic and drug discovery, prognostic and predictive biomarker development, chemoprevention, microbiome, high throughput genomics, proteomics & metabolomics, next-generation sequencing, spatial biology, molecular epidemiology, behavioral interventions, comparative effectiveness research, clinical trial design, and precision medicine. Many of these projects draw upon Moffitt's Total Cancer Care initiative, which provides access to a comprehensive set of clinical and molecular data on a large number of cancer patients.
The Department of Biostatistics and Bioinformatics is the largest academic department at Moffitt and one of three departments in the academic Division of Quantitative Sciences within the Moffitt Research Institute. Alongside the Departments of Machine Learning and Integrated Mathematical Oncology, the Department of Biostatistics and Bioinformatics offers a unique environment for quantitative scientists focused exclusively on cancer. Institutional investments in the Moffitt Cancer Analytics Platform, high performance computing, and the Total Cancer Care Protocol offer unique resources for data-driven team science.
The Ideal Candidate:
• Preference will be given to applicants with a strong track record in translational bioinformatics and computational/systems biology, particually in cancer research. Areas of emphasis include, but are not limited to, epigenomics, proteomics, metabolomics, population and real-world genetics, AI-driven biomarker discovery, liquid biopsy techniques, drug discovery and therapeutic innovation, single-cell/spatial omics, and computational immuno-oncology.
• We seek candidates who can contribute to the many current clinical, basic science, and translational studies at Moffitt, with a demonstrated commitment to team scienceas, as evidenced by a history of peer-reviewed publications and involvement in grant supported research projects.
• The candidate is expected to identify and resolve methodological issues that arise in team science research, as a major expectation is to identify areas of methodological research in which to engage that will benefit the candidate's research.
Responsibilities:
• Conduct independent and collaborative genomics-based research in translational bioinformatics, cancer bioinformatics, and computational biology.
• Team science collaboration to tackle a variety of cancer clinical and basic science research projects.
• Communicate clearly and openly.
• Build relationships to promote a collaborative environment.
Credentials and Qualifications:
Successful candidates must have a Ph.D. in biomedical informatics, bioinformatics, computational immunology, computer science, biostatistics or related field and relevant research training and experience.
Academic rank beyond Assistant Member will be commensurate with experience and qualifications. The position is tenure-earning. Salary and start-up funds are highly competitive.
Interested applicants should send a single PDF file that includes a cover letter summarizing their research training and accomplishments, a personal statement of scientific interests and goals, current CV with recent publications, and contact information for three references to Dr. Xiaoqing Yu, Search Committee Chair, at Xiaoqing.Yu@moffitt.org. Review of applications will begin immediately and continue until the position is filled.
Tampa is a thriving metropolitan city that provides its residents a high quality of life. The Tampa Bay area has become a hub for ground-breaking research, welcoming individuals from around the globe. This diverse city is engulfed with rich culture, year-round activities for all, beautiful beaches, amazing cuisine, and so much more.

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