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Biology Machine Learning Intern Jobs in Raleigh, NC

RESEARCH TECHNICIAN I

Durham, NC · On-site

$17.50 - $24/hr

This role is designed for early-career scientists who are excited to push boundaries in machine learning, integrative genomics, and cancer biology . What You'll Do: * Develop and implement novel ...

RESEARCH TECHNICIAN I

Durham, NC · On-site

$17.50 - $24/hr

This role is designed for early-career scientists who are excited to push boundaries in machine learning, integrative genomics, and cancer biology . What You'll Do: * Develop and implement novel ...

Senior Vision Software Engineer

Raleigh, NC · On-site

$119.10K - $157K/yr

... biological and commercial data. * Ability to work in a fast-paced environment and adapt to changing priorities. * Solid understanding of machine learning tools and how to implement them in a software ...

Senior Vision Software Engineer

Raleigh, NC · On-site

$119.10K - $157K/yr

... biological and commercial data. * Ability to work in a fast-paced environment and adapt to changing priorities. * Solid understanding of machine learning tools and how to implement them in a software ...

Bioinformatician II

Durham, NC · On-site

$94.16K - $150.73K/yr

Experience applying machine learning or statistical modeling to biological datasets * Experience working in cancer biology or related biomedical fields * Experience with high-performance computing ...

Bioinformatician II

Durham, NC

$94.16K - $150.73K/yr

Experience applying machine learning or statistical modeling to biological datasets * Experience working in cancer biology or related biomedical fields * Experience with high-performance computing ...

Intern

Raleigh, NC · On-site

$14.50 - $19.50/hr

Biology; Geology; or other related technical or business fields. Responsibilities What You'll Do ... Key Learning Areas * Safe field and laboratory practices that reflect Terracon's "Safety First ...

There will be opportunities to apply and extend machine learning and data-driven methods, particularly in settings that require combining biological, clinical, and social determinants of health. The ...

There will be opportunities to apply and extend machine learning and data-driven methods, particularly in settings that require combining biological, clinical, and social determinants of health. The ...

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Showing results 1-20

Biology Machine Learning Intern information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

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

As of May 28, 2026, the average yearly pay for biology machine learning intern in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 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.
What are popular job titles related to Biology Machine Learning Intern jobs in Raleigh, NC? For Biology Machine Learning Intern jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Biology Machine Learning Intern jobs in Raleigh, NC look for? The top searched job categories for Biology Machine Learning Intern jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Biology Machine Learning Intern jobs? Cities near Raleigh, NC with the most Biology Machine Learning Intern job openings:
RESEARCH TECHNICIAN I

RESEARCH TECHNICIAN I

Duke University

Durham, NC • On-site

$17.50 - $24/hr

Full-time

Medical, Dental, Retirement

Posted 13 days ago


Duke University rating

6.5

Company rating: 6.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

433rd of 528 rated colleges and universities


Job description

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,500 faculty physicians and researchers, more than 1,300 students, and more than 6,000 staff, the Duke University School of Medicine along with the Duke University School of Nursing, Duke University Health System and the Private Diagnostic Clinic (PDC) comprise Duke Health. a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations.
Be You.
At Duke University School of Medicine, we celebrate individuality, curiosity, and the power of interdisciplinary thinking. As a Research Technician I (Computational Biology & Bioinformatics), you'll join a collaborative and inclusive research environment where your quantitative skills, creativity, and scientific interests directly contribute to advancing cancer and brain tumor genomics.
In the lab of Dr. Yi Zhang, you'll work alongside computational scientists, cancer biologists, clinicians, and engineers to develop and apply innovative data science approaches that help uncover biological insights from complex genomics data.
Be Bold.
This role is designed for early-career scientists who are excited to push boundaries in machine learning, integrative genomics, and cancer biology.
What You'll Do:
  • Develop and implement novel machine learning and data analysis methods for large-scale multi-omics datasets, including:
    • Bulk and single-cell RNA sequencing
    • Spatial transcriptomics
    • Single-cell and bulk multi-omics
    • Genetic variation and functional genomics data
  • Apply computational methods to integrative genomics studies focused on:
    • Cancer genomics
    • Tumor microenvironment
    • Brain tumors
  • Collaborate closely with Dr. Yi Zhang and lab members on computational method development and biological interpretation.
  • Partner with interdisciplinary collaborators across Duke and external institutions in quantitative genomics and data science.
  • Communicate scientific findings through writing, presentations, and peer-reviewed publications.
  • Contribute to an open, collaborative research culture through code sharing and open-source development.

What We're Looking For (Preferred Qualifications):
  • BS or MS (completed within the last 1-3 years or to be completed within 1 year) in a quantitative discipline such as:
    • Computational Biology, Bioinformatics, Computer Science
    • Bioengineering, Biostatistics, Statistics, Mathematics
    • Electrical Engineering, Biomedical Data Science, or related fields
  • Experience (or strong interest) in data analysis method development and computational implementation.
  • Proficiency in Python or R, Linux/Unix shell scripting; experience with genomics pipelines and GitHub is a plus.
  • Strong motivation to analyze genomics data and extract meaningful biological insights.
  • Interest or experience in areas such as:
    • Cancer genomics
    • Tumor microenvironment
    • Single-cell and spatial omics
    • Immunology, gene regulatory networks
    • Non-coding genome, genetic variants, and functional genomics
  • Excellent communication skills, including scientific writing and presentations.
  • A demonstrated ability-or strong potential-to publish in peer-reviewed journals.
  • Enthusiasm for working in a multidisciplinary, collaborative research environment.

Choose Duke.
Dr. Yi Zhang is an Assistant Professor at Duke University School of Medicine, with faculty appointments in Neurosurgery; Biostatistics & Bioinformatics; Biomedical Engineering; and Cell Biology, and is a member of the Duke Brain Tumor Omics Program at the Preston Robert Tisch Brain Tumor Center.
Her training includes:
  • PhD in Bioengineering, University of Illinois at Urbana-Champaign
  • Postdoctoral training at Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health

Dr. Zhang has published over 20 peer-reviewed articles in leading journals such as Cell, Nature Communications, Cancer Discovery, Genome Biology, Nature Machine Intelligence, and Neuro-Oncology. She is the recipient of multiple prestigious awards, including the NIH NIGMS R35 Award, EECS Rising Star, and Emerging Scholars in Genomics.
At Duke, you'll benefit from:
  • A supportive, inclusive, and international research culture
  • Access to world-class collaborators in computer science, genomics, cancer biology, immunology, and neurosurgery
  • Resources and mentorship to help you grow a successful scientific career

Ready to Make a Difference?
Join us at Duke University School of Medicine and help advance the future of cancer and brain tumor genomics through data-driven discovery.
Apply today.
Knowledge, Skills and Abilities
N/A
Level Characteristics
N/A
Minimum Qualifications
Education
Work requires an Associate's degree in botany, biology, zoology, psychology or other science related scientific field.
Experience
None required above education/training requirement OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE
Degrees, Licensures, Certifications
None required above education/training requirement OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE
Anticipated Pay Range: Duke University provides an annual base salary range for this position as USD $18.00 to USD $26.49. Duke University considers factors such as (but not limited to) scope and responsibilities of the position; candidate's work experience, education/training, and key skills; internal peer equity; as well as market and organizational considerations when extending an offer.
Your total compensation goes beyond the dollars on your paycheck. Duke provides comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/
Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status.
Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and reasonable accommodation(s) can be requested with Duke Access and Accommodations Services (email: DAAS@duke.edu; phone: 919-668-1267).

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About Duke University

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Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

Year founded

1838