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Biology Machine Learning Intern Jobs in Ridgewood, NJ

Biohub

Machine Learning Engineer, AI

New York, NY · On-site +1

$214K - $335K/yr

Scaled biological foundation models trained on some of the largest GPU clusters dedicated to ... What You'll Bring * 5+ years of industry experience building and deploying machine learning ...

Biohub

Machine Learning Engineer, AI

New York, NY

$214K - $335K/yr

Scaled biological foundation models trained on some of the largest GPU clusters dedicated to ... What You'll Bring * 5+ years of industry experience building and deploying machine learning ...

Optimum

Sr Machine Learning Engineer

Long Island City, NY · On-site

$113K - $155K/yr

Job Summary Machine Learning Engineers work to deploy end-to-end solutions to business problems ... Physics, Biology, Chemistry or Engineering. An advanced degree, Data Science bootcamp or MOOC ...

Mercor

Senior Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Qualifications Must-Have * 3+ years of research, academic, or industry experience in Machine Learning , Data Science , Software Engineering , Computer Science , Statistics , Biology , Electrical ...

Zolve

Be Seen First

Data Science and Analytics Intern

Roseland, NJ · Remote

$15.92 - $17/hr

Data Science and Analytics Intern Duration: 9 Weeks (15th June'26 - 14th Aug'26) Salary: $15.92 ... Machine Learning and Predictive Modeling: * Assist in the development and implementation of machine ...

Formation Bio

Principal Data Scientist

New York, NY · On-site

$204K - $267K/yr

You'll work at the intersection of computational biology, machine learning, and drug development, collaborating with cross-functional teams to translate complex biological data into actionable ...

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All JobsBiology Machine Learning Intern JobsBiology Machine Learning Intern Jobs in Ridgewood, NJ

Biology Machine Learning Intern information

See Ridgewood, NJ salary details

$25.8K

$43.1K

$89K

How much do biology machine learning intern jobs pay per year?

As of Jun 14, 2026, the average yearly pay for biology machine learning intern in Ridgewood, NJ is $43,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Biology Machine Learning Intern, and why are they important?

To thrive as a Biology Machine Learning Intern, you need a foundational understanding of biology, statistics, and programming (usually Python or R), often supported by coursework or a degree in a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), bioinformatics tools, and data analysis platforms is typically expected. Strong problem-solving abilities, attention to detail, and teamwork skills help interns excel in interdisciplinary research environments. These skills and qualities are crucial for effectively analyzing biological data, developing models, and contributing to innovative scientific solutions.

What kinds of projects do Biology Machine Learning Interns typically work on, and how do these projects contribute to the team?

Biology Machine Learning Interns often work on interdisciplinary projects that apply machine learning techniques to analyze biological data, such as genomics, protein structures, or cellular imaging. These projects may involve developing predictive models, automating data processing pipelines, or extracting meaningful patterns from large, complex datasets. Interns usually collaborate closely with both biologists and data scientists, gaining hands-on experience and contributing valuable insights that support ongoing research or product development. This collaborative environment not only enhances technical skills but also provides exposure to real-world applications of AI in life sciences.

What does a Biology Machine Learning Intern do?

A Biology Machine Learning Intern works at the intersection of biology and computer science, applying machine learning techniques to analyze biological data. Their tasks often include processing large datasets, building predictive models, and supporting research projects that use artificial intelligence to solve biological problems. Interns may work on projects like drug discovery, genomics, or protein structure prediction, and typically collaborate with scientists and engineers. This role helps bridge the gap between experimental biology and data-driven insights.
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Biology Machine Learning Intern jobs near you
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Flushing, NY

Other

Posted 22 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply