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Machine Learning Biomedical Internship Jobs in Atlanta, GA

Pediatric Research Innovator

Atlanta, GA · On-site

$17.50 - $24/hr

... areas of biomedical science. In partnership with Children's Healthcare of Atlanta, faculty ... Areas of interest include artificial intelligence and machine learning, imaging, data science, and ...

Pediatric Research Innovator

Atlanta, GA · On-site

$17.50 - $24/hr

... areas of biomedical science. In partnership with Children's Healthcare of Atlanta, faculty ... Areas of interest include artificial intelligence and machine learning, imaging, data science, and ...

AL/ML Engineer, Lead

Atlanta, GA · On-site

$98K - $129K/yr

As an experienced engineer, you know that machine learning (ML) is critical to understanding and ... Experience supporting healthcare, biomedical, or public health AI/ML initiatives and government ...

AL/ML Engineer, Lead

Atlanta, GA · On-site

$98K - $129K/yr

As an experienced engineer, you know that machine learning (ML) is critical to understanding and ... Experience supporting healthcare, biomedical, or public health AI/ML initiatives and government ...

Lead AL/ML Engineer

Atlanta, GA · On-site

$98K - $129K/yr

As an experience d engineer, you know that machine learning ( ML ) is critical to understanding and ... Experience supporting healthcare, biomedical, or public health AI / ML initiatives and government ...

AL/ML Engineer, Lead

Atlanta, GA

$98K - $129K/yr

As an experienced engineer, you know that machine learning (ML) is critical to understanding and ... Experience supporting healthcare, biomedical, or public health AI/ML initiatives and government ...

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Machine Learning Biomedical Internship information

See Atlanta, GA salary details

$24.5K

$41K

$84.6K

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

As of Jul 15, 2026, the average yearly pay for machine learning biomedical 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 Machine Learning Biomedical Internship?

A Machine Learning Biomedical Internship is a temporary position where students or recent graduates work with professionals to apply machine learning techniques in the biomedical field. Interns typically assist with data analysis, model development, and research projects that involve biological or medical data. The goal is to gain practical experience in using artificial intelligence to solve healthcare challenges, such as disease prediction, medical imaging, or drug discovery. These internships often require knowledge of programming languages like Python and familiarity with machine learning frameworks. They provide valuable hands-on experience and networking opportunities for those interested in biomedical data science careers.

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

To excel as a Machine Learning Biomedical Intern, you need a solid background in computer science, statistics, and biology, often supported by coursework or a degree in related fields. Familiarity with programming languages like Python or R, experience with machine learning libraries (such as TensorFlow or scikit-learn), and knowledge of data analysis tools are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These competencies enable interns to develop effective models, collaborate with multidisciplinary teams, and contribute meaningful insights to biomedical research projects.

What types of projects do interns typically work on during a Machine Learning Biomedical Internship?

Interns in Machine Learning Biomedical roles often contribute to projects involving the development and validation of algorithms for analyzing medical data, such as imaging, genomics, or electronic health records. They may assist with data preprocessing, model training, and performance evaluation under the guidance of experienced researchers or engineers. Collaboration is common, as interns often work closely with interdisciplinary teams including data scientists, clinicians, and software engineers. This hands-on experience provides valuable exposure to real-world biomedical challenges while strengthening both technical and communication skills.
What job categories do people searching Machine Learning Biomedical Internship jobs in Atlanta, GA look for? The top searched job categories for Machine Learning Biomedical Internship jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Machine Learning Biomedical Internship jobs? Cities near Atlanta, GA with the most Machine Learning Biomedical Internship job openings:
Infographic showing various Machine Learning Biomedical Internship job openings in Atlanta, GA as of July 2026, with employment types broken down into 3% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,951 per year, or $19.7 per hour.
Research Informatics Analyst- Winship Cancer Institute

Research Informatics Analyst- Winship Cancer Institute

Emory University

Atlanta, GA

Full-time

Posted 5 days ago


Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 211 frontline employees who took The Breakroom Quiz

157th of 885 rated healthcare providers


Job description

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.


About Winship Cancer Institute of Emory University

Dedicated to discovering cures for cancer and inspiring hope, Winship Cancer Institute of Emory University is Georgia’s only National Cancer Institute-designated Comprehensive Cancer Center, a prestigious distinction given to the top tier of cancer centers nationwide for making breakthroughs against cancer. Winship is researching, developing, teaching, and providing novel and highly effective ways to prevent, detect, diagnose, treat, and survive cancer. Cancer care at Winship includes leading cancer specialists collaborating across disciplines to tailor treatment plans to each patient’s needs and type of cancer; innovative therapies and clinical trials; comprehensive patient and family support services; and a personalized care experience aimed at easing the burden of cancer.Winship is Where Science Becomes Hope®. For more information, visit winshipcancer.emory.edu.

Winship is seeking qualified candidates for the Research Informatics Analyst position. Position details are as follows:

Winship Data and Technology Shared Resource seeks a highly motivated Research Informatics Analyst to support cancerfocused translational, clinical, and population research across Winship Cancer Institute. This position serves as a key component of the shared resource infrastructure, providing centralized informatics and analytic expertise to investigators conducting cancer research across discovery, translational, and clinical domains.

The primary responsibility of this role is engineering scalable and reusable analytic datasets that support research reporting, cohort identification, feasibility analyses, and advanced analytics, with dedicated support for the Myeloma Research Team. The Research Informatics Analyst designs curated data models, develops optimized and maintainable SQL logic, and produces standardized data extracts that enable consistent downstream use across research and analytic workflows. The role leverages Epic analytics certifications and training grounded in Epic Cogito, with preferred experience aligned to Epic data environments such as Clarity, Caboodle, and Cosmos, as well as experience supporting automation, machine learning, and emerging data science initiatives.

The ideal candidate will bring substantial experience working with complex clinical and research datasets, and will contribute to project feasibility analyses, aggregatelevel reporting,  dashboarding, and the development of reproducible, welldocumented analytic workflows. This position operates within a regulated research environment and requires familiarity with data governance, privacy, regulatory requirements, and best practices that ensure rigor, transparency, and responsible data use within cancer research.

KEY RESPONSIBILITIES:

  • Leads efforts to ensure that informatics systems support and advance the objectives and mission of Emory University.
  • Works directly with faculty and staff to document, analyze, and translate their needs into technical designs and informatics solutions.
  • Utilizes standard software requirements and design practices to document informatics solutions to support a wide range of activities across the university.
  • Applies biomedical informatics technical standards, methodologies, and principles to program needs, objectives, and outcomes.
  • Manages, from a client business perspective, related systems projects.
  • Ensures a high level of client satisfaction by monitoring the delivery of ongoing information systems to the enterprise.
  • Performs related responsibilities as required.

ADDITIONAL JOB INFORMATION:

  • Provide informatics and analytic support for myeloma cancer research studies including clinical trials, translational research, and population-based projects.
  • Access, integrate, clean, and analyze complex datasets from multiple clinical, operational, and research data sources.
  • Partner with investigators to assess project feasibility, interpret research protocols, and translate eligibility criteria into data extraction and analytic workflows.
  • Respond to ad hoc analytic requests and generate aggregate level summaries, reports, dashboards, and visualizations to support research and operational decision making.
  • Apply best practices for data quality assessment, validation, documentation, reproducibility, and version control within a regulated research environment.

MINIMUM QUALIFICATIONS:

  • A bachelor's degree and five years of experience in information technology or an equivalent combination of education, training and experience which includes experience working within a health, research, or academic institution.
  • Knowledge of data and information systems standards relevant to the field of biomedical informatics and health systems.

PREFERRED QUALIFICATIONS:

  • Master’s degree in informatics, data science, analytics, public health or a related field, or an equivalent combination of education and experience.
  • Demonstrated experience working with large, complex research or clinical datasets in an academic or healthcare setting.
  • Demonstrated project management skills, including coordinating analytic work, managing timelines, and collaborating across technical, clinical, and research teams.
  • Strong working knowledge of relational database design with advanced proficiency in SQL for developing complex queries and data extracts, along with experience using analytic or informatics tools such as SAS, R, and Python.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with research data governance, regulatory requirements, and best practices for documentation and reproducibility.
  • Experience supporting automation, machine learning, and AI-enabled analytics is highly desirable, including development of scalable data pipelines and research-ready datasets that support advanced analytic and computational workflows.

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 University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).

Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.


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