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Bioinformatics Machine Learning Internship Jobs in New Jersey

Rutgers University

Lab Assistant

Piscataway, NJ · On-site

Aid with research in publication editing, bioinformatics analysis, neuroimaging analysis ... Apply statistical and machine-learning methods, including functional connectivity analysis, and ...

KPMG US

Data Scientist- Associate

Montvale, NJ · On-site

$61K - $62K/yr

Required : • Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering • Minimum of a Bachelor's degree is required • ...

BMW Group

$29.90/hr

This is a part-time internship position for our Fall rotation, from September 8th, 2025 through ... machine learning, and technology integration. * Utilize advanced analytics to extract valuable ...

MUFG

ML Engineer, Analyst

Jersey City, NJ · Hybrid

Python, APIs and REST services, Machine Learning basics, and Basic understanding of Large Language ... Academic projects or internships involving AI/ML or Gen AI. Key Skills: Technical Skills: * Python ...

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Bioinformatics Machine Learning Internship information

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 New Jersey?

The most popular types of Bioinformatics Machine Learning jobs in New Jersey are:

What are popular job titles related to Bioinformatics Machine Learning Internship jobs in New Jersey?

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

What job categories do people searching Bioinformatics Machine Learning Internship jobs in New Jersey look for?

The top searched job categories for Bioinformatics Machine Learning Internship jobs in New Jersey are:

What cities in New Jersey are hiring for Bioinformatics Machine Learning Internship jobs?

Cities in New Jersey 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 New Jersey as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data and Transformation Associate

Valley National Bancorp

Morristown, NJ • On-site

$16.50 - $21.50/hr

Other

Posted 19 days ago

Job description

Job Title

Responsibilities include but are not limited to:

  • Participate in classroom training to deepen knowledge in specific professional skills as well as banking and fintech concepts.
  • Learn the core business activities of a commercial & consumer bank.
  • Complete projects within assigned track in a timely manner and collaborate effectively across teams within the Data-Analytics, Technology and Transformation organizations.
  • Work on transformational projects aligned with strategic objectives.
  • Follow best practices and standards for coding, testing, documentation, and security.
  • Develop data driven presentations.
  • Under Managements direction, learns to manage projects, completing specific assigned tasks.
  • Analyze, organize, and use data & insights to support decision making.

Required Skills:

  • Strong analytical skills.
  • Excellent verbal and written communication skills.
  • Ability to work independently and collaboratively in a team.
  • Ability to learn quickly and apply new skills and knowledge.
  • Attention to detail and quality.
  • Ability to adapt to changing priorities and environments.
  • Intermediate skills in Microsoft Excel, PowerPoint, and Word.
  • Must demonstrate initiative, curiosity, and creativity in solving problems and learning new skills.

Required Experience:

  • Bachelor's degree in computer science, Engineering, Computer Information Systems, Business Analytics/Data Science, or related field.
  • Academic or internship-based knowledge of databases, web services, cloud computing, security and project management.

Preferred Experience:

  • 0-2 years of relevant work or internship experience supporting Transformation, Technology or Data organization.
  • Proficiency in one or more programming languages such as Java, Python, C#, or JavaScript.
  • Experience with data analysis, visualization, or machine learning is a plus.
  • Familiarity with software development tools and methodologies such as Git, Agile, or Scrum.

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