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Bioinformatics Machine Learning Internship Jobs in Miami, FL

Conduct functional bioinformatics and statistical analyses for interpretation of AD-associated loci ... Develop and apply machine learning and large language model (LLM) approaches to build interpretable ...

Software Engineer - Intern (US)

Miami, FL · On-site

$112.50 - $145/hr

... machine learning and more. As an intern, you'll get to challenge the impossible in technology ... In addition to weekly pay, interns may be eligible for a highly competitive sign-on bonus, housing ...

Associate Scientist

Miami, FL · On-site

$100 - $125/hr

Design and execute end-to-end statistical and bioinformatic analyses integrating large-scale ... Develop and apply machine learning and large language model (LLM) approaches to build interpretable ...

Software Engineer - Intern (US)

Miami, FL · On-site

$112.50 - $145/hr

... machine learning and more. As an intern, you'll get to challenge the impossible in technology ... In addition to weekly pay, interns may be eligible for a highly competitive sign-on bonus, housing ...

Software Engineer - Intern (US)

Miami, FL · On-site

$4.5K - $5.8K/wk

... machine learning and more. As an intern, you'll get to challenge the impossible in technology ... In addition to weekly pay, interns may be eligible for a highly competitive sign-on bonus, housing ...

Showing results 21-40

Bioinformatics Machine Learning Internship information

See Miami, FL salary details

$24.4K

$40.7K

$84.2K

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

As of Sep 7, 2026, the average yearly pay for bioinformatics machine learning internship in Miami, FL is $40,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,000.00 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 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 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 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 Miami, FL?

The most popular types of Bioinformatics Machine Learning jobs in Miami, FL are:

What are popular job titles related to Bioinformatics Machine Learning Internship jobs in Miami, FL?

For Bioinformatics Machine Learning Internship jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Machine Learning Internship jobs in Miami, FL look for?

The top searched job categories for Bioinformatics Machine Learning Internship jobs in Miami, FL are:

What cities near Miami, FL are hiring for Bioinformatics Machine Learning Internship jobs?

Cities near Miami, FL with the most Bioinformatics Machine Learning Internship job openings:

Full-time

Medical, Dental

Re-posted 26 days ago


University Of Miami rating

7.7

Company rating: 7.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

265th of 631 rated colleges and universities


Job description

Current Employees:

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet.

Associate Scientist

The University of Miami/UHealth Hussman Institute has an exciting opportunity for a Full Time, Associate Scientist to work in Miami.


Core Job Summary:
The Associate Scientist, SOM supports the University's research goals and objectives by performing laboratory experiments in his/her areas of interest, expertise, or assignment. Moreover, the incumbent performs various analytical procedures involving method development and application development and synthesis.


Core Responsibilities:

  • Contributes to basic and applied research activities including authorship of scientific publications, technical and agency reports, and patent preparations.

  • Publishes in refereed journals in collaboration with department leadership or independently.

  • Supervises research employees and non-exempt staff.

  • Writes extramural proposals with approval of senior managing staff.

  • Creates and conducts experiments and analyzes results.

  • Works with other researchers to use and develop end products.

  • Provides ready access to all experimental data for the faculty researchers, supervisors, and other relevant staff.

  • Requests or acquires equipment and supplies for assigned project(s).

  • Applies for grants to continue research and prepares materials for submission to granting agencies and foundations.

  • Adheres to University and unit-level policies and procedures and safeguards University assets.


This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.
Core Qualifications:

  • Doctorate degree - Philosophy (PhD) required

  • Minimum 5 years of relevant experience required

  • Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.

  • Teamwork: Ability to work collaboratively with others and contribute to a team environment.

  • Technical Proficiency: Skilled in using office software, technology, and relevant computer applications.

  • Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.

Department Specific Functions:

  • Lead and perform complex analyses of genome-wide association and high throughput sequencing data with particular focus on identification of risk and protective loci relevant to Alzheimer Disease and related dementias.

  • Design and implement robust statistical frameworks for integrative genomic analyses, including the identification of gene:gene and gene:environment interactions in multi-ancestry populations

  • Conduct functional bioinformatics and statistical analyses for interpretation of AD-associated loci and genes using computational pipelines developed in R, Python, or other appropriate computing language

  • Publish original research articles both independently and in conjunction with the principal investigators

  • Collaborate closely with principal investigators to shape experimental design and analytical strategies, ensuring reproducibility and high statistical rigor; suggest changes to current protocols that would enhance ability to complete project aims more readily

  • Maintain active engagement with the scientific literature to integrate emerging techniques in statistical genetics and computational biology into ongoing projects

  • Supervise, train and instruct fellows, students, and staff in computational genomics, emphasizing best practices in statistical modeling, reproducible research, and open-source software development.

  • Seek independent funding from federal agencies and foundations for original research efforts with the appropriate guidance from institute leadership

  • Participate and contribute to grant applications in large international consortia research collaborations as MPI or Co-Investigator to advance the understanding of complex disease with focus on Alzheimer Disease and related dementias

  • Genetic and bioinformatic analysis of Alpha-1 Antitrypsin deficiency.

  • Design and execute end-to-end statistical and bioinformatic analyses integrating large-scale genomic and clinical datasets to identify genetic contributors to disease risk within the All of Us Research Program secure Researcher Workbench environment using R and/or Python.

  • Develop and apply machine learning and large language model (LLM) approaches to build interpretable, clinically relevant predictive tools for disease diagnosis and risk stratification.

  • Adhere to University and unit-level policies and procedures and safeguards University assets

The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.

UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for.

The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.

Job Status:

Full time

Employee Type:

Staff

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About University of Miami

Sourced by ZipRecruiter

The University of Miami, located in the beautiful Coral Gables, Florida, is a comprehensive, private research institution in the United States. Operating within the higher education industry, the institution offers a multitude of degree programs spanning over 180 majors and program through its 12 colleges. The University was founded in 1925 with the mission to disseminate knowledge, transform lives, and change the world - a mission it has held faithfully to this day. Notably, the University of Miami has gained global recognition for its commitment to research and innovation, with over $324 million in research and sponsored project funding awarded annually.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Coral Gables, FL, US

Year founded

1925