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Bioinformatics Machine Learning Internship Jobs in Raleigh, NC

Temporary IT Analyst / Programmer II

Raleigh, NC · On-site

$30 - $39/hr

This role involves managing multiple interns who will contribute to software development along specific pathways, including a Machine Learning Operations (MLOps) pathway. This pathway will bridge ...

Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be for one or two semesters with the possibility of renewal. Note that this position is only for teaching ...

Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be for one or two semesters with the possibility of renewal. Note that this position is only for teaching ...

Associate

Apex, NC · On-site

$70K - $75K/yr

... building, machine learning, causality, and general data analysis. As this position is customer ... Prior internship or other work experience in a corporate environment. * Basic understanding of ...

... machine learning concepts. Important Information: - This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. - Candidates must be ...

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

Prior internship or project experience in finance, asset management, or a related quantitative ... Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques.

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Bioinformatics Machine Learning Internship information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

How much do bioinformatics machine learning internship jobs pay per year?

As of Jun 19, 2026, the average yearly pay for bioinformatics machine learning internship 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 is a Bioinformatics Machine Learning Internship?

A Bioinformatics Machine Learning Internship is a temporary position, usually for students or recent graduates, where interns gain hands-on experience applying machine learning techniques to biological data. Interns may work on projects like analyzing genomic sequences, predicting protein structure, or developing algorithms for biomedical research. The role involves coding, data analysis, and collaborating with scientists to solve real-world biological problems. It offers exposure to both computational methods and biological sciences, preparing interns for careers in bioinformatics, data science, or research.

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

To thrive as a Bioinformatics Machine Learning Intern, you need a solid background in biology, statistics, and computer science, typically supported by relevant coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of machine learning frameworks such as TensorFlow or scikit-learn are highly valued. Attention to detail, problem-solving skills, and effective communication help interns collaborate on interdisciplinary teams and interpret complex datasets. These skills ensure interns can contribute meaningfully to research projects, derive insights from biological data, and communicate findings clearly.

What are some typical projects or tasks a Bioinformatics Machine Learning Intern might work on during their internship?

As a Bioinformatics Machine Learning Intern, you'll often contribute to projects that involve developing and testing algorithms for analyzing biological data, such as genomic sequences or protein structures. Typical tasks may include preprocessing large datasets, implementing machine learning models to identify patterns or make predictions, and visualizing results for team discussions. Interns frequently collaborate with both computational scientists and experimental biologists, gaining exposure to interdisciplinary teamwork and real-world applications. This hands-on experience helps interns build both technical and domain-specific skills, preparing them for advanced roles in bioinformatics or data science.

What is the difference between Bioinformatics Machine Learning Internship vs Bioinformatics Data Analyst Internship?

AspectBioinformatics Machine Learning InternshipBioinformatics Data Analyst Internship
Required SkillsProgramming, machine learning, bioinformatics toolsData analysis, statistical skills, bioinformatics tools
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch labs, healthcare, biotech firms
Industry UsageDeveloping algorithms, predictive models in bioinformaticsAnalyzing biological data, generating reports

While both internships involve bioinformatics, the Bioinformatics Machine Learning Internship focuses on developing machine learning models and algorithms, whereas the Bioinformatics Data Analyst Internship emphasizes analyzing biological data and generating insights. Both roles require programming and bioinformatics skills but differ in their core focus and application.

What are popular job titles related to Bioinformatics Machine Learning Internship jobs in Raleigh, NC? For Bioinformatics Machine Learning Internship jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Bioinformatics Machine Learning Internship jobs? Cities near Raleigh, NC with the most Bioinformatics Machine Learning Internship job openings:
Infographic showing various Bioinformatics Machine Learning Internship job openings in Raleigh, NC as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $41,395 per year, or $19.9 per hour.
Postdoctoral Research Associate

Postdoctoral Research Associate

UNC-Chapel Hill

Chapel Hill, NC

Full-time

Medical, Vision, PTO

Posted 17 days ago


University Of North Carolina At Chapel Hill rating

7.5

Company rating: 7.5 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

263rd of 538 rated colleges and universities


Job description

Posting Details
Department School of Data Sci and Society - 397100 Posting Open Date 04/13/2026 Application Deadline 06/30/2026 Open Until Filled No Position Type Postdoctoral Scholar Position Title Postdoctoral Research Associate Vacancy ID PDS004832 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range $62,000 - $65,000, dependent on experience Proposed Start Date 08/03/2026 Estimated Duration of Appointment 12 Months
Position Information
Be a Tar Heel!
A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation's top public universities and is among is the top ten research universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development.
Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment to research excellence. Across many disciplines, postdocs contribute to the intellectual vitality of the University. They provide innovative ideas and perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is one of the leading public research institutions in the country.
UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage, paid leave, and benefits and services that support professional development and a healthy work/life balance. Chapel Hill regularly ranks as one of the best college towns and best places to live in the United States, a reputation guided by the diverse social, cultural, recreation and professional opportunities that span the campus and community.
Primary Purpose of Organizational Unit
The School of Data and Information Sciences (SDIS) was founded in 2026 by joining the School of Information and Library Science (1931) and the School of Data Science and Society (2022). SDIS brings together longstanding excellence in information and library science with leadership in data science, including computational and statistical methods, and societal applications. 
Home to a top ranked library and information science program, SDIS is recognized for strong teaching, research and service and is the home to the Carolina Health Informatics Program (CHIP) and the Center for Information, Technology and Public Life (CITAP). The School teaches and trains undergraduate and graduate students in data science, health informatics, information science and library science, as well as offers certificates for adult learners.
SDIS conducts research and scholarship across the data and information life cycle, with an emphasis on human-centric, ethical and applied approaches. Committed to data, information and AI literacy for all Tar Heels, SDIS faculty are tackling our communities' most pressing needs and our world's most intractable challenges. 
Position Summary
The Zikry Lab at UNC-Chapel Hill is seeking a highly motivated Postdoctoral Research Fellow to join our group at the intersection of statistical methodology, machine learning, and biomedical data science. Our research develops rigorous and interpretable methods for high-dimensional biomedical data, with applications spanning cancer genomics, neuroscience, and precision medicine. The postdoctoral fellow will join a collaborative, interdisciplinary environment within the School of Data and Information Sciences, with opportunities to work with researchers across the UNC scientific community in units such as the Computational Medicine Program and the Lineberger Comprehensive Cancer Center.
The postdoctoral fellow will play a central role in advancing new statistical and machine learning methodology. Areas of focus include (but are not limited to):
* Clustering and unsupervised learning
* Dimension reduction and manifold learning
* High-dimensional inference and feature selection
* Generative modeling and digital twins
* Reliability and interpretability of ML methods
The postdoctoral researcher will be responsible for teaching at most one class per semester (an existing 100-level data science course with lecture and evaluation material provided). Based on teaching needs, this may be changed to one class per academic year.
Minimum Education and Experience Requirements
Ph.D. (or foreign equivalent) in statistics, mathematics, biostatistics, bioinformatics, computational biology, or a related field of study.
Required Qualifications, Competencies, and Experience
N/A
Preferred Qualifications, Competencies, and Experience
Experience in statistical modeling and biomedical data analysis is a plus. Evidence of research productivity (publications, presentations, software) is preferred.
Special Physical/Mental Requirements
N/A
Special Instructions
For information on being a postdoc at UNC, please click here - https://research.unc.edu/postdocs/prospective/.
Quick Link https://unc.peopleadmin.com/postings/315941
Posting Contact Information
Department Contact Name and Title Beth Mayo, HR Director Department Contact Telephone or Email beth.mayo@unc.edu Postdoctoral Affairs Contact Information
If you experience any problems accessing the system or have questions about the application process, please contact the University's Office of Postdoctoral Affairs at (919) 962-9982 or send an email to opahr@unc.edu.
Please note: The Office of Postdoctoral Affairs will not be able to provide specific updates regarding position or application status.
Equal Opportunity Employer Statement
The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.

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About University of North Carolina at Chapel Hill

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The University of North Carolina at Chapel Hill (UNC-Chapel Hill), located in Chapel Hill, NC, US, is renowned for being one of the leading research institutes in the world. Operating within the education industry, this public research university offers a broad range of undergraduate, graduate, and professional programs across various disciplines. UNC-Chapel Hill was chartered in 1789 and has maintained its legacy of academic excellence and innovative research for more than two centuries. The institution operates under the core values of excellence, innovation, engagement, accessibility, diversity, and inclusivity. Their mission is to serve the people of North Carolina and the United States by teaching a diverse community of students to become the next generation of leaders.

Industry

Colleges, universities, and professional schools

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10,000+ Employees

Headquarters location

Chapel Hill, NC, US

Year founded

1789