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Bioinformatics Machine Learning Internship information

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.

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Bioinformatics Machine Learning Internship jobs near you
Infographic showing various Bioinformatics Machine Learning Internship job openings in Nebraska as of July 2026, with employment types broken down into 28% As Needed, 56% Full Time, 10% Part Time, 3% Contract, 2% Nights, and 1% Summer. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.
Bioinformatics Data Analyst

Bioinformatics Data Analyst

University of Nebraska Medical Center

Omaha, NE • On-site

$55K - $83K/yr

Full-time

Posted yesterday

University Of Nebraska Medical Center rating

8.5

Company rating: 8.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

52nd of 1,020 rated hospitals

Job description

GENERAL REQUISITION INFORMATION
EEO Statement:
UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.
Location Omaha, NE Requisition Number: Staff_14859 Department Pharmacology/Exp Neuroscience 50000523 Business Unit College of Medicine Reg-Temp Full-Time Regular Work Schedule TBD by Research Needs Remote/Telecommuting No remote/telecommuting opportunity Position Summary
Responsible for providing assistance with bioinformatic analysis and programming support for Omics analysis, which include transcriptomics, proteomics, and metabolomics data analysis. Specifically, involved in Single cell RNA and ATAC seq data analysis, Microbiome analysis and other bioinformatics analysis as needed for the projects to enhancing translational research under the direction of supervisor.
Support spatial profiling analysis (Visium HD, Xenium, CosMx). Ensure data integrity, track metadata, standardize analysis pipelines and provide interpretation of results. This will include carrying out very large-scale sequence data management and analysis procedures in close and writing resulting data for manuscripts/grants.
Also, may perform basic lab techniques such as DNA/RNA isolation, submitting for data/sequencing data/omics data to appropriate resources. Generate publications ready figures, methods sections, and results for manuscripts, presentations, and grant applications. Able to apply machine learning and AI based tools for in silico drug development studies.
Position Details
Additional Information 
Posting Category Research - Non Academic Working Title Bioinformatics Data Analyst Job Title Data Coordinator L2 Salary Grade RA22S Appointment Type B1 - REG MGR PROF SALARY Salary Range $55,400 - $83,100/annual Job Requisition Begin Date 07/13/2026 Application Review Date 07/20/2026 Review Date Information:
Initial application review will begin on the date provided in the field above. Applications received prior to this review date will be considered. Applications received after the review date may be considered.
Required and Preferred Qualifications
Required Education: Bachelor's degree If any degree major/training is required, please specify the type. (NOTE: Concentration and minors are not equivalent to a major)
Computer Science, Bioinformatics or related Quantitative/Biomedical Discipline
(Will consider additional related post high school education in lieu of required experience)
Required Experience 2 years If any experience is required, please specify what kind of experience:
Experience with scientific data analysis, data management to include experience with quantitative/biomedical discipline.
(Will consider additional related post high school education in lieu of required experience)
Required License No If yes, what is the required licensure/certification? Required Computer Applications: Microsoft Excel, Microsoft Word, Microsoft PowerPoint Required Other Computer Applications: Adobe Suite Required Additional Knowledge, Skills and Abilities:
General experience with the Linux/Gnu operating system and utilities. General experience with scripting or compiled programming languages (e.g., BASH shell scripting, Python, Perl, Ruby, Java, Mono)
Preferred Education: Master's degree or equivalent If any degree/training is preferred, please specify the type:
Relevant coursework/specialized training or equivalent
Preferred Experience:
Bioinformatics data analysis or related experience
Prefer progress towards or completion of a relevant Master's degree.
Preferred License: No If yes, what is the preferred licensure/certification?: Preferred Computer Applications: Microsoft Access Preferred Other Computer Applications: Preferred Additional Knowledge, Skills and Abilities: Email to a Friend https://unmc.peopleadmin.com/postings/99173

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