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Science Intern information

What is a science intern?

Science Interns are students or recent graduates who work temporarily in scientific organizations, laboratories, or research facilities to gain practical experience and foundational knowledge in a specific scientific field. Their duties often include assisting with experiments, collecting and analyzing data, and supporting research projects under the supervision of experienced scientists. This role provides an opportunity to apply classroom learning in real-world settings, develop technical and analytical skills, and explore potential career paths in science. Science internships can be found in a variety of sectors, such as academia, healthcare, biotechnology, and environmental science.

What types of projects and tasks can I expect to work on as a science intern?

As a Science Intern, you'll typically support ongoing research or development projects by assisting with data collection, conducting experiments, analyzing results, and preparing reports or presentations. You may also be asked to help maintain laboratory equipment or contribute to literature reviews. The specific tasks depend on the organization's focus, but you will often collaborate closely with scientists, researchers, and other interns, gaining valuable hands-on experience and exposure to real-world scientific processes.

What are the key skills and qualifications needed to thrive as a science intern, and why are they important?

To thrive as a Science Intern, you need a solid background in scientific principles, research methods, and data analysis, often supported by ongoing or completed coursework in a relevant STEM field. Familiarity with laboratory equipment, scientific software (such as Excel, SPSS, or Python), and safety protocols is typically required. Attention to detail, curiosity, and strong communication skills help interns effectively contribute to research teams and projects. These skills and qualities are essential to ensuring accuracy, fostering innovation, and supporting the overall goals of scientific research environments.

What are the most commonly searched types of Science jobs in Indiana?

The most popular types of Science jobs in Indiana are:

What cities in Indiana are hiring for Science Intern jobs?

Cities in Indiana with the most Science Intern job openings:

Science Intern jobs near you
Infographic showing various Science Intern job openings in Indiana as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 20% Part Time, and 4% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Research Scientist Intern (2025)

Whiterabbit.ai

South Bend, IN • On-site

Other

Re-posted 24 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