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Intern Biotech Data Science Jobs in Raleigh, NC (NOW HIRING)

Finance Intern - Fall 2026

Cary, NC · On-site

$20 - $34/hr

Currently enrolled in a bachelor's degree program in Finance, Accounting, Computer Science or Data Science in the United States. * Intern must have reliable transportation to and from the worksite.

Finance Intern - Fall 2026

Cary, NC · On-site

$20 - $34/hr

Currently enrolled in a bachelor's degree program in Finance, Accounting, Computer Science or Data Science in the United States. * Intern must have reliable transportation to and from the worksite.

Currently enrolled in a bachelor's degree program in Finance, Accounting, Computer Science or Data Science in the United States. * Intern must have reliable transportation to and from the worksite.

This role is essential in protecting patient safety, ensuring highquality clinical data, and ... Bachelor's degree required; a scientific or healthcare discipline is preferred. * 6 months -2 years ...

CLINICAL RESEARCH INTERN

Durham, NC · On-site

$18 - $26.49/hr

As the Clinical Research Intern, you'll be a vital part of a collaborative, interdisciplinary ... Contribute to data analysis with guidance from the PI and statisticians. Scientific & Analytical ...

CLINICAL RESEARCH INTERN

Durham, NC · On-site

$18 - $26.49/hr

As the Clinical Research Intern, you'll be a vital part of a collaborative, interdisciplinary ... Contribute to data analysis with guidance from the PI and statisticians. Scientific & Analytical ...

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Intern Biotech Data Science information

See Raleigh, NC salary details

$8

$16

$23

How much do intern biotech data science jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for intern biotech data science in Raleigh, NC is $16.56, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.70 per hour, depending on experience, location, and employer.

What is the difference between Intern Biotech Data Science vs Intern Bioinformatics?

AspectIntern Biotech Data ScienceIntern Bioinformatics
Required CredentialsUndergraduate or graduate degree in Data Science, Bioinformatics, or related fieldsUndergraduate or graduate degree in Bioinformatics, Biology, or related fields
Work EnvironmentLaboratories, biotech companies, research institutions focusing on data analysisLaboratories, research centers, biotech firms focusing on biological data analysis
Industry UsageUsed in biotech, pharmaceutical, and healthcare sectors for data-driven researchCommon in genomics, molecular biology, and personalized medicine sectors

Intern Biotech Data Science and Intern Bioinformatics both involve working with biological data, but Data Science roles focus more on statistical analysis, machine learning, and data modeling, while Bioinformatics roles emphasize biological data interpretation, sequence analysis, and computational biology. The choice depends on your background and career interests in either data-driven insights or biological data analysis.

Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Durham, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


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