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Machine Learning Biomedical Internship Jobs in Seattle, WA

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139K - $183K/yr

The Product: Annapurna Labs Machine Learning accelerators are at the forefront of Amazon ... About the team BASIC QUALIFICATIONS - 5+ years of non-internship professional software development ...

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All JobsMachine Learning Biomedical Internship JobsMachine Learning Biomedical Internship Jobs in Seattle, WA

Machine Learning Biomedical Internship information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

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

As of Jun 16, 2026, the average yearly pay for machine learning biomedical internship in Seattle, WA is $48,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,300.00 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 are popular job titles related to Machine Learning Biomedical Internship jobs in Seattle, WA? For Machine Learning Biomedical Internship jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Internship jobs in Seattle, WA look for? The top searched job categories for Machine Learning Biomedical Internship jobs in Seattle, WA are:
Machine Learning Biomedical Internship jobs near you
Infographic showing various Machine Learning Biomedical Internship job openings in Seattle, WA as of June 2026, with employment types broken down into 28% Internship, and 72% Full Time. Highlights an 100% In-person job distribution, with an average salary of $48,461 per year, or $23.3 per hour.
Postdoctoral Scholar, Luo Lab - Biomedical and Health Informatics

Postdoctoral Scholar, Luo Lab - Biomedical and Health Informatics

University of Washington

Seattle, WA • On-site

$5.7K/mo

Full-time

Posted 14 days ago

University Of Washington School Of Medicine rating

7.8

Company rating: 7.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

173rd of 537 rated colleges and universities

Job description

Description
The University of Washington (UW) is proud to be one of the nation's premier educational and research institutions. Our people are the most important asset in our pursuit of achieving excellence in education, research, and community service. Our staff not only enjoys outstanding benefits and professional growth opportunities, but also an environment noted for diversity, community involvement, intellectual excitement, artistic pursuits, and natural beauty.
The Department of Biomedical Informatics and Medical Education provides training, research, and service in education and informatics across the breadth of health sciences and health care. Faculty interests and activities include: physician performance assessment, evidence based medicine, physician/patient communication skills, systems for clinical decision support, case based instruction, knowledge representation, retrieval and analysis, health professions diversity, public health informatics, health workforce projections, teaching and program evaluation and competencies for primary care.
The Luo Lab in the Department of Biomedical Informatics and Medical Education has a Postdoctoral Scholar position open with a focus in machine learning. The postdoctoral scholar will work on topics of mutual interest such as, but not limited to, automatic machine learning model selection and automatically explaining machine learning classification / prediction results.
The Luo lab is in UW Medicine's South Lake Union campus near the city center of Seattle. The University of Washington, and the Seattle area in general, offer an excellent community and programs in computer science, medical informatics, and related fields.
The salary for this position will be $5,705 per month, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination.
The position is a full-time, 12-month (one-year) appointment, which may be extended (upon successful performance), subject to funding and mutual agreement. The Postdoctoral Scholar title is limited to five years, including postdoctoral experience(s) at UW and other institutions. Anticipated earliest start date of 1/2/24.
Postdoctoral Scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website (https://hr.uw.edu/labor/2019/06/03/agreement-reached-with-uaw-postdoctoral-scholars-on-2019-2021-contract).
For questions please contact Dr. Gang Luo (luogang@uw.edu).
Qualifications
The successful applicant should have a Ph.D., or foreign equivalent, by date of appointment in machine learning from computer science or related areas and be proficient in Java, C, and Python programming. Familiarity with the source code of major open source machine learning software packages such as Weka, Tensorflow, and PyTorch is a plus.
Application Instructions
Applications should consist of a cover letter, curriculum vitae, statement of future research interests, a statement describing the applicant's experience and commitment to diversity, equity and inclusion, and three letters of reference.
Applications will be accepted until the position is filled.

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