Senior Scientist, Artificial Intelligence Ge
San Francisco, CA

Job Description

Role Summary:We are forming a multidisciplinary team at the intersection of imaging systems and physics, artificial intelligence, computer vision and bioinformatics with the broad charter to develop the next generation of theoretical and practical image acquisition and image interpretation framework and new approaches to co-analyze and combine datasets from genomic, cellular and molecular methods with imaging signatures.

Essential Responsibilities:The team will consist of experts in imaging physics, image reconstruction, artificial intelligence (AI), computer vision and bioinformatics who will work in close collaboration with various business units of GE Healthcare, GE Global Research, and academic partners to advance the state of the art in precision medicine.

We are looking for candidates trained in artificial intelligence and intelligent systems, with a deep theoretical and mathematical understanding of the field along with hands-on practical experience in developing and implementing AI solutions.

The responsibilities will include:

Working with other members of the team and with academic partners in one of the following areas

Applying artificial intelligence to image reconstruction and inverse problems in medical imaging

Using AI in conjunction with other mathematical methods and knowledge of imaging systems physics to radically redesign the image acquisition chain

Keeping abreast of the latest theoretical as well as practical developments in AI, including but not limited to deep learning, with quick implementation and testing of promising advancements

Development of novel transforms for image representation in manifolds that are conducive to image reconstruction and deep learning

Shaping and leading the research program and translation to product in the selected program area of leadership

Identifying external partners and the competitive landscape in the selected program area of leadership

Project execution basics. This includes: oversight of objectives, timelines, milestones, deliverables, pivots, reviews, personnel allocation, etc.

Qualifications/Requirements:

PhD in Computer Science, Mathematics, Electrical Engineering, or related field or equivalent degree and 7 years relevant work experience.

Strong theoretical and mathematical foundations in artificial intelligence

Coding skills and familiarity with open source development environments

Demonstrated skills in developing and implementing artificial intelligence solutions, preferably in healthcare or in other industries

Strong publication record and/or demonstrated contributions to leading commercial products

Desired Characteristics:Ability to execute scientific program area with business impact and seeing it through to completion including scientific and business outcomes

Demonstrated ability to work in large multidisciplinary teams and complex programs

Knowledge of digital technologies and data science. Some familiarity with diagnostic imaging, clinical workflow and molecular technologies would be desirable

About Us:GE (NYSE:GE) drives the world forward by tackling its biggest challenges. By combining world-class engineering with software and analytics, GE helps the world work more efficiently, reliably, and safely. GE people are global, diverse and dedicated, operating with the highest integrity and passion to fulfill GE's mission and deliver for our customers. www.ge.com

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.

Additional Eligibility Qualifications:GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).Additional Locations:United States;California, Wisconsin;San Francisco, Waukesha;