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Bioinformatics Machine Learning Internship Jobs in Atlanta, GA

Emory Healthcare

Associate AI Engineer

Atlanta, GA · On-site

Develop technical knowledge of artificial intelligence, machine learning, cloud technologies, and ... College Coursework, co-op, or internship experience in healthcare or life sciences Coursework ...

Actox

Staff Scientist

Atlanta, GA · On-site

$90 - $130/hr

Machine learning and artificial intelligence (ML/AI) methods for drug discovery * Collaborating ... Master's degree in computational chemistry, cheminformatics, bioinformatics, pharmaceutical ...

New

Jobtailor

Associate Software Engineer

Atlanta, GA · On-site

$90 - $130/hr

Explore opportunities to incorporate AI and machine learning capabilities into software solutions ... internships, or personal development. * Familiarity with web technologies, APIs, and modern ...

Dolby

Multimodal AI Researcher, Audio

Atlanta, GA · On-site

Mentor interns on novel research problems. * Publish papers in top-tier conferences and journals ... Deep knowledge on current machine learning literature. * Strong publication record, with ...

Kaleris

AI Engineer Student Advisor

Alpharetta, GA

... or internships * Interest, coursework, or experience in Computer Science, Information Technology ... Familiarity with AI and Machine Learning concepts and techniques * Experience with or exposure to ...

Kaleris

AI Engineer Student Advisor

Alpharetta, GA · On-site

... or internships * Interest, coursework, or experience in Computer Science, Information Technology ... Familiarity with AI and Machine Learning concepts and techniques * Experience with or exposure to ...

Saige

Marketing Intern

Atlanta, GA

$15 - $19.75/hr

... machine learning to recommend meals, which we then cook out of our commercial kitchen and deliver to your door. Our meals evolve based on the tastes and needs of our customers. Marketing Internship ...

Saige

Marketing Intern

Atlanta, GA · On-site

$15 - $19.75/hr

... machine learning to recommend meals, which we then cook out of our commercial kitchen and deliver to your door. Our meals evolve based on the tastes and needs of our customers. Marketing Internship ...

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All JobsBioinformatics Machine Learning JobsBioinformatics Machine Learning Internship JobsBioinformatics Machine Learning Internship Jobs in Atlanta, GA

Bioinformatics Machine Learning Internship information

See Atlanta, GA salary details

$24.5K

$41K

$84.6K

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

As of Aug 28, 2026, the average yearly pay for bioinformatics machine learning internship in Atlanta, GA is $40,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $44,200.00 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 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 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 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 the most commonly searched types of Bioinformatics Machine Learning jobs in Atlanta, GA?

The most popular types of Bioinformatics Machine Learning jobs in Atlanta, GA are:

What are popular job titles related to Bioinformatics Machine Learning Internship jobs in Atlanta, GA?

For Bioinformatics Machine Learning Internship jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Machine Learning Internship jobs in Atlanta, GA look for?

The top searched job categories for Bioinformatics Machine Learning Internship jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Bioinformatics Machine Learning Internship jobs?

Cities near Atlanta, GA with the most Bioinformatics Machine Learning Internship job openings:

Bioinformatics Machine Learning Internship jobs near you
Infographic showing various Bioinformatics Machine Learning Internship job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $40,951 per year, or $19.7 per hour.

Associate AI Engineer

Emory Healthcare

Atlanta, GA • On-site

Full-time

Re-posted 11 days ago

Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 217 frontline employees who took The Breakroom Quiz

162nd of 895 rated healthcare providers

Job description

Overview
Be inspired. Be rewarded. Belong. At Emory Healthcare.
At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be. We provide:
  • Comprehensive health benefits that start day 1
  • Student Loan Repayment Assistance & Reimbursement Programs
  • Family-focused benefits
  • Wellness incentives
  • Ongoing mentorship, development, and leadership programs
  • And more

Atlanta based position requiring one onsite meeting bi-weekly
Description
The Associate AI Engineer supports the design, development, testing, and deployment of enterprise artificial intelligence (AI) solutions under the guidance of AI architects and senior engineers. This role collaborates with cross-functional teams to develop secure, scalable, and compliant AI applications that support clinical, operational, and administrative initiatives. The Associate AI Engineer contributes to the implementation of AI technologies while developing technical expertise and supporting the organization's responsible AI objectives. This is an Atlanta based position that will require one day every other week onsite for AI team meetings. We are looking for builders in this role, willing to dive into a variety of workstreams, and passionate about AI healthcare.
RESPONSIBILITIES:
AI Solution Development:
  • Assist product managers, AI architects, and senior engineers in defining AI solution requirements, estimating user stories, and developing technical specifications
  • Participate in the hands-on development of AI solutions under the guidance of senior technical staff, including: Data ingestion and preparation - Prompt engineering - Pipeline orchestration and deployment - Quality assurance testing and validation - Front-end development and integration
  • Support the implementation, testing, troubleshooting, and optimization of AI applications and supporting technologies
  • Assist with documenting technical solutions, development processes, and implementation activities

Technical Collaboration and Support:
  • Collaborate with AI architects, engineers, product managers, and cross-functional stakeholders throughout the software development lifecycle
  • Support the development of secure, scalable, and compliant AI solutions aligned with enterprise architecture and responsible AI principles
  • Participate in technical discussions, code reviews, and knowledge-sharing activities to support continuous improvement

Continuous Learning and Innovation:
  • Develop technical knowledge of artificial intelligence, machine learning, cloud technologies, and software engineering best practices
  • Stay current with emerging AI technologies, development frameworks, and engineering methodologies to support ongoing innovation

PREFERRED QUALIFICATIONS:
  • Education: College Coursework, co-op, or internship experience in healthcare or life sciences Coursework toward or completion of an advanced degree (e.g., Master of Science, MBA, or related field)
  • Experience:
    • 2+ years of relevant software engineering, data engineering, or AI engineering experience
    • 1+ years of experience developing machine learning/artificial intelligence solutions within healthcare or life sciences
    • Exposure, education, or experience in Human-Computer Interaction (HCI)
    • Experience working in agile, cloud-based product development environments
    • Certification Microsoft Azure certifications (e.g., Azure Fundamentals, Azure AI Fundamentals) or AWS certifications (e.g., Certified Cloud Practitioner, Developer - Associate) or Epic Systems certifications (e.g., Cogito, Clarity, Caboodle, Cognitive Computing) or SAFe Agile or other related certifications

MINIMUM QUALIFICATIONS:
  • Education: Bachelor's degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, or a related field
  • Experience: 0-2 years of experience in software engineering, data engineering, machine learning/artificial intelligence (ML/AI) engineering, or a related field
  • Knowledge, Skills, and Abilities (Required):
    • Knowledge of Python and SQL programming languages
    • Foundational understanding of artificial intelligence, machine learning, and data science principles
    • Ability to assist in the development, testing, and deployment of AI applications and supporting technologies
    • Knowledge of software development lifecycle concepts and engineering best practices
    • Strong analytical and problem-solving skills
    • Ability to communicate technical concepts effectively with both technical and non-technical stakeholders
    • Strong data visualization and reporting skills to communicate technical and operational insights
    • Ability to work collaboratively within cross-functional technical teams
    • Demonstrated commitment to continuous learning in artificial intelligence, machine learning, cloud technologies, and DevOps/MLOps practices

Additional Details
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.
Emory Healthcare is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. Please contact Emory Healthcare's Human Resources at careers@emoryhealthcare.org. Please note that one week's advance notice is preferred.

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