Job Description Summary
Personalization in healthcare has been identified as a key growth area for GE HealthCare (GEHC) and Advanced Technology Group will play a key role in developing targeted solutions that meets the goal of Precision Medicine. At GEHC, there are on-going, multi-disciplinary programs in digital and molecular pathology, tissue imaging, diagnostic imaging (MRI, CT, PET, Ultrasound), physiological monitoring (ECG, US, EEG, etc.) and informatics approaches to identify clinically relevant biosignatures. We believe that AI can quickly and more accurately identify signs of disease in medical images, like MRI, CT scans, ultrasound, and x-rays, and therefore allow faster diagnostics and positively impact the patient outcomes. Our teams are leading the AI effort in advancing the care pathway, such as improving the organization of treatment plans, analyzing data to provide better treatment plans, and monitoring treatments. AI will play a central role in this initiative with breakthroughs resulting in image interpretations, identifying imaging biomarkers for many applications including tissue characterization, analyzing physiological data for patient care solutions, and in many instances accelerating the clinical workflow so that healthcare costs are reduced.
We are looking to grow our team of Advanced Technology Group at GEHC in Bangalore. We are looking for top notch researchers at all career levels who want to be part of this exciting journey. As a group, we will:
Innovate and execute on the R&D strategy around image analytics aligned with the GEHC business initiatives in a broad set of areas (Patient monitoring, MRI, CT, Ultrasound, X-Ray, Cell therapy, Molecular Diagnostics, etc.).
Drive cutting edge research in core imaging and signal processing problems
Participate in strategic collaborations with top universities and pharma/biotech
Publish in key conferences and journals, as well as generate core IP.
GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.
Job Description
Roles and Responsibilities
As a Staff AI Scientist, you will be part of the AI group in the Science & Technology Organization working with cross-disciplinary team on commercially-facing development of Healthcare products, typically involving large, complex signal and imaging data sets. These teams typically include AL Scientists, ML Engineers, Statisticians, Computer Scientists, Software Developers, Hardware Engineers, Product Managers, and Clinicians, working in concert with partners in GEHC business units.
The Advanced Technology Group is focused on signal and image processing for Ultrasound, MRI, CT, X-ray and Physiological Monitoring data. The candidate should be highly passionate and an enthusiastic player for solving problems in medical imaging by building and implementing algorithms for image processing, machine learning, and deep learning. As a Staff AI Scientist in the domain of medical imaging you will be responsible for
- Lead project teams by understanding clinical problems, researching solution space, design and implementation of algorithms for multiple modalities spanning from Ultrasound, MR, CT, X-ray, patient monitoring, and life sciences applications
- Understand state-of-the-art in the field, and lead project teams to generate IP, including patents and publications in top journals and conferences
- Lead cutting edge research in artificial intelligence and machine learning applications., and develop solutions for real world, large scale problems
- Lead teams on technologies that accelerate workflows, optimizes patient specific imaging and create device agnostic imaging algorithms
- Work with team to do fast prototyping, feasibility studies, specification and implementation of medical imaging product components.
- Work with customers to understand algorithm and workflow requirements and deliver solutions
Qualifications/ Requirements
- PhD in Computer Science, Machine Learning, Electrical Engineering/Electronics and communication engineering with specialization in medical imaging.
- Proven track record in design, analysis, and implementation of algorithms. Advanced understanding of machine learning, computer vision or deep learning.
- 5+ years of experience in medical imaging
- 5+ years of proven experience in Machine Learning, Applied Mathematics, Computer Vision fields
- Demonstrated theoretical and practical background in Machine Learning, Deep Learning, Statistical Pattern Recognition, Applied Mathematics, Medical Imaging, Natural Language Processing, text understanding, classification, pattern recognition,
- Proven publication record in Journals of International repute and conferences such as ISBI, ICLR, NIPS, OHBM and others
- Proven expertise with Python, C++, and deep learning libraries
- Demonstrated team work skills and empathy
- Proven experience in AI, Deep Learning, Machine Learning, Applied Mathematics, Computer Vision fields
- Demonstrated skill at leading a project team
- Demonstrated skill in prioritization and goal orientation
- Highly Fluent in presentation and influencing skills
Personal Attributes
- Keen motivation to lead teams in ambiguous circumstances.
Inclusion and Diversity
GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.
GE HealthCare will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide employment with GE HealthCare. If you suspect you have received a fraudulent call , please fill out the form below: https://www.ge.com/careers/fraud
#LI-SR2
#LI-Hybrid
Additional Information
Relocation Assistance Provided: Yes
