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Bioinformatics Machine Learning Internship Jobs in Raleigh, NC

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

Analyze large-scale neural and behavioral datasets using machine learning and statistical ... Serve as a bioinformatics expert and coordinate with multidisciplinary teams including biologists ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

We are currently searching for Bioinformatics Scientist to provide bioinformatics support to ... Advanced proficiency in disciplines such as statistical modeling, machine learning, and integrative ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

Evaluate and implement new bioinformatics tools, statistical methods, and computational approaches ... Advancedproficiencyindisciplinessuch asstatistical modeling, machine learning, and integrative ...

Labcorp

Associate Data Scientist

Durham, NC · Hybrid

$57K - $57K/yr

... Bioinformatics, Information Systems or Information Technology. * 6 months or more experience ... internship, or professional) applying machine learning frameworks and libraries such as scikit ...

Labcorp

Associate Data Scientist

Durham, NC · On-site

$57K - $57K/yr

... Bioinformatics, Information Systems or Information Technology. * 6 months or more experience ... internship, or professional) applying machine learning frameworks and libraries such as scikit ...

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC · On-site

... bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2026 or later. The ideal candidate will develop novel machine learning and ...

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC · On-site

... bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2026 or later. The ideal candidate will develop novel machine learning and ...

Duke University

Associate in Research

Durham, NC

Master's degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational Biology, or a related quantitative field. * Strong programming skills. * Experience with machine learning ...

Duke University

Associate in Research

Durham, NC · On-site

Master's degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational Biology, or a related quantitative field. * Strong programming skills. * Experience with machine learning ...

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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 Jul 9, 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 job categories do people searching Bioinformatics Machine Learning Internship jobs in Raleigh, NC look for? The top searched job categories for Bioinformatics Machine Learning Internship jobs in Raleigh, NC 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:
Bioinformatics Machine Learning Internship jobs near you
Bioinformatics Scientist

Bioinformatics Scientist

Guidehouse

Durham, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago

Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

36th of 58 rated business consultants

Job description

Job Family:

Scientist


Travel Required:

None


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

We are looking for a Bioinformatics Scientist to provide computational and analytical support services to advance research objectives, including study design, data processing, advanced modeling, and interpretation of neurobehavioral data. This position is a full-time position located in Research Triangle Park, NC.

  • Conduct analyses of in vivo neurobehavioral data; independently design the analytical approaches as well as identify and solve scientific or technical problems.

  • Collaborate with the Neurobehavioral Core Laboratory and support scientists to recommend computational approaches for testing hypotheses, analyze and interpret in vivo neurobehavioral data; prepare and present the results based on scientific objectives.

  • Support to the Neurobehavioral Core Laboratory to develop custom pipelines for raw data acquisition, management, pre-processing, post-processing and interpretation.

  • Analyze large-scale neural and behavioral datasets using machine learning and statistical approaches.

  • Implement algorithms for data processing and visualization, optimizing them for performance.

  • Develop scalable analysis pipelines, reproducible workflows, and computational strategies to enhance research capabilities and scientific impact.

  • Serve as a bioinformatics expert and coordinate with multidisciplinary teams including biologists, statisticians, and researchers.


What You Will Need:

  • Master's degree in Bioinformatics, Computational Biology, Neuroscience, Biostatistics, Computer Science, Physics, Mathematics, or a related discipline.

  • A minimum of ONE (1) year bioinformatics, computational biology, or related scientific research.

  • Proficiency in programming and analytical tools such as SQL, R, Python, MATLAB, Java, and Shell scripting.

  • Experience working with large datasets and cloud-based computing environments.

  • Strong skills in machine learning, multi-omics analysis, pipeline development, and neurobehavioral data analysis.

  • Experience with Linux/Unix systems, HPC environments, and scientific software tools.

  • Ability to design computational approaches, solve complex analytical problems, and interpret scientific data.

  • Ability to collaborate effectively with multidisciplinary teams and contribute to research initiatives.

  • Must be able to obtain and maintain a Federal or DoD "public trust"; candidates must receive approved adjudication prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred.

What Would Be Nice To Have:

  • Ph.D. in Biological Sciences, Neuroscience, Bioinformatics, Computational Biology, or a related discipline.

  • Machine Learning certification.

  • Experience with neurobehavioral imaging data analysis and image processing tools (e.g., ImageJ).

  • Experience developing novel statistical or computational methodologies for research applications.

  • Prior experience supporting federal research environments or scientific laboratories.

  • Experience training users and delivering workshops on bioinformatics tools and computational analysis.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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