Staff Data Scientist - Deep Learning

Key Skills

Python Programming, Aartificial intelligence, Machine learning techniques, Deep Learning, Keras software library, PyTorch, TensorFlow, Caffe

Job Description

The Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.

GE Healthcare is a leading global medical technology and digital solutions innovator. Our Digital organization is structured around three major areas: Products & Platform, Go to Market and Centers of Excellence.

Job Description

Roles and Responsibilities:

Want to revolutionize healthcare domain? We are looking for a highly motivated individual, passionate about deep learning and AI to join the GE Healthcare Data Science team. As the Staff Data Scientist, you will focus on developing impactful and innovative deep learning-based products for the Healthcare industry partnering with world-leading clinicians.

Essential Responsibilities:

• You will be expected to drive design and development of deep learning technologies for Healthcare applications such as segmentation, anomaly detection, image processing, natural language understanding, time series analysis, 
• Provide guidance to data collection teams on test protocols including design of experiments, sample size, and statistical distributions.
• Design and implement networks to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports.
• Demonstrate algorithms meet accuracy requirements on general subject population through statistical analyses and error estimation
• Gather and analyze data, devise innovative data science solutions and build prototypes to enable development of high-performance algorithms in scalable, product-ready code.
• Initiate and propose unique and promising deep learning capabilities, develop new and innovative algorithms and technologies, pursuing patents where appropriate
• Stay current on published state-of-the-art algorithms and competing technologies.
• Contribute to the development of software and data delivery platforms that are service-oriented with reusable components across teams (multiple teams) that can be orchestrated together into different methods for different businesses.
• Research and evaluate emerging technology, industry and market trends to assist in product development and/or operational support activities to for multiple teams or complex scenarios.

Qualifications/Requirements:

Basic Qualifications:

• Master’s Degree in a STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 3 year analytics development for industrial applications in a commercial setting OR Ph.D. in a STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field. Experience with waveform/time-series data with 2 years experience. Post-doctoral fellowships can be substituted for industry experience if it is in a relevant area.
• Demonstrated expertise in building deep learning models such as CNN, RNN, LSTM, Transformers, and GANs.
• Strong implementation experience with a variety of high-level languages and frameworks such as PyTorch, TensorFlow, Keras, Caffe, CNTK, etc.
• Working knowledge of waveform/timeseries data and 2D/3D image data.
• Familiarity with nuanced topics such as self-supervised learning, contrastive learning, representation learning.
• GE Leadership Program Graduates will get credit towards relevant work experience, commensurate to the program they have completed

Eligibility Requirements:

• Legal authorization to work in the U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills.
• Must be willing to travel to attend meetings, workshops, conferences & etc.
• Must be willing to work out of an office located in San Ramon, CA

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.