Clinical SaaS analytics platform revolutionizing medical imaging and healthcare through ultra-fast cloud computing, advanced visualization, and deep learning.

Annual

Entry Level

Information Technology

Internship

<p>You will be responsible for developing novel deep learning-based approaches to automate many aspects of medicine, including radiology, disease diagnosis, and preventative medicine. Development of state-of-the-art medical machine learning models. You’ll spend time prototyping novel algorithms, translating them into production-level code, and integrating them into our state-of-the-art cloud-based software.</p><p>Arterys is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.</p>

United States of America

Arterys

Intern - Machine Learning

San Francisco

California

Strong background in machine learning and deep learning, particularly convolutional neural networks

Experience with medical data, particularly the DICOM standard, a plus

Experience building cloud infrastructure with various providers, a plus

English

Python

Amazon Web Services

Azure

Tensorflow

Keras

Google Cloud Platform

Adaptable

Communication

Multitasking

Detail Oriented

Problem-Solving

Science

With the evolving industrialization of life sciences, companies need to embrace the exponential changes in technology to change the way they work, conduct research, innovate, manufacture and distribute products, and meet consumer expectations. The life sciences sector continues to embark on a transformative technology journey. Companies, today, are preparing for the future by embracing these technologies and building a patient-centric culture. Life sciences companies operate in an evolving business environment that is characterized by cost pressure, technological progress and disruption caused by new, innovative market participants. In this context, the market focus is shifting from product sales to health outcomes. Biopharma and biotech companies are increasingly looking to data science, artificial intelligence (AI) and machine learning to give new insights into drug development. While uptake in artificial intelligence may seem slow in life sciences compared to other industries, the potential shift it represents will indelibly impact the way drugs and medical devices are discovered, designed, created, distributed, and used. AI will drive more combination products, higher quality, and more personalization across the industry.

Irvine

Startup

51-200 Employees

Intern - Machine Learning

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