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Bioinformatics Machine Learning Internship Jobs in New Jersey

DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...

New

DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...

New

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

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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 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 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:

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.

$15.92 - $20/hr

Other

Re-posted 9 days ago


Job description

Title:
Hourly Data Analyst
Department:
Computer Science
Reports To:
Distinguished Professor, Computer Science
Position Type:
Staff
Position Summary:
The Hourly Data Analyst will support an NIH R15-funded biomedical research project under the supervision of Dr. Zhi Wei. The position is intended to provide meaningful undergraduate research experience in biomedical data science, computational biology, and bioinformatics while contributing to approved project aims. The intern will assist with literature review, biological information curation, data analysis, implementation and testing of computational methods ,and preparation of research summaries or presentations.
Essential Functions:
-
Conduct literature review related to biomedical data science, computational biology, bioinformatics, and relevant biological background information.
- Collect, organize, and curate prior biological information and publicly available biomedical data relevant to the project.
- Implement, test, and document basic core functions of proposed computational methods under supervision.
- Run baseline methods, software tools, and computational experiments as directed by the supervisor or graduate mentor.
- Assist with simulation of synthetic data and collection, processing, and analysis of real data.
- Contribute to the development and testing of user-friendly research software, scripts, notebooks, or documentation.
- Participate in regular research meetings, provide progress updates, and receive guidance from the PI, co-investigator, and graduate mentor.
- Help prepare research summaries, figures, reports, posters, presentations, or other materials related to the project.
Prerequisite Qualifications:
-
Current undergraduate student in computer science, data science, bioinformatics, biology, mathematics, statistics, engineering, or a related field.
- Interest in biomedical research, computational biology, bioinformatics, machine learning, data science, or related areas.
- Ability to work responsibly under supervision, communicate progress, and meet agreed-upon deadlines.
- Strong attention to detail and willingness to learn new scientific and computational concepts.
- At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position.
Preferred Qualifications:
-
Prior coursework or experience in programming, data analysis, algorithms, statistics, machine learning, biology, genetics, genomics, or bioinformatics.
- Experience with Python, R, Linux/command line, Git/GitHub, Jupyter notebooks, or similar tools is helpful but not required.
- Prior research experience is helpful but not required.
Salary Information:
In compliance with the NJ Pay Transparency Law, the hourly rate/range for this position is $15.92-$20.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items.
FLSA:
Non-Exempt
Part-Time

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