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Scientist Intern information

What are the key skills and qualifications needed to thrive as a scientist intern?

To thrive as a Scientist Intern, you need a solid academic background in a relevant scientific field, along with foundational knowledge of research methodologies and data analysis. Familiarity with laboratory equipment, statistical software (such as R or Python), and relevant safety protocols is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns contribute meaningfully and collaborate with research teams. These skills and qualities are critical for producing reliable results and gaining valuable hands-on experience in scientific research environments.

What is the difference between Scientist Intern vs Research Assistant?

AspectScientist InternResearch Assistant
Required CredentialsTypically pursuing or recently completed a relevant degree; some internships may require coursework or minor experienceUsually holds a bachelor's degree; some roles may require a master's or ongoing education
Work EnvironmentTemporary, project-based, often in academic, government, or corporate labsOften permanent or long-term, working in labs, universities, or research institutions
Employer & Industry UsageCommonly used in academic, biotech, pharmaceutical, and research organizationsWidely used across academic labs, government agencies, and private sector research teams

The main difference is that a Scientist Intern is typically a temporary position for students or recent graduates gaining experience, while a Research Assistant is often a more permanent role supporting ongoing research projects. Interns focus on learning and skill development, whereas Research Assistants contribute to research tasks regularly.

What does a scientist intern do?

A Scientist Intern assists professional scientists with research projects, experiments, and data analysis in a laboratory or research setting. They may help collect and analyze samples, perform literature reviews, prepare reports or presentations, and maintain lab equipment. This internship is designed to provide hands-on experience and exposure to real-world scientific work, helping interns build skills and knowledge for future careers in science.

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

The most popular types of Scientist jobs in Indiana are:

What are popular job titles related to Scientist Intern jobs in Indiana?

For Scientist Intern jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Scientist Intern jobs in Indiana look for?

The top searched job categories for Scientist Intern jobs in Indiana are:

What cities in Indiana are hiring for Scientist Intern jobs?

Cities in Indiana with the most Scientist Intern job openings:

Scientist Intern jobs near you
Infographic showing various Scientist Intern job openings in Indiana as of August 2026, with employment types broken down into 20% Internship, 1% As Needed, 54% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% 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