Location(s): United States ; California; San Ramon
About Us: GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. 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, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Role Summary: This is an opportunity to join a team that is working to revolutionize healthcare. As an early member of the team you will play a significant role in leading that charge. You can be one of the first deep learning experts to have ever tackled these problems. The novel work you perform will have a meaningful impact on worldwide medical practices. You will have the opportunity to partner with world-leading clinicians on a regular basis and lead the creation of new diagnostic models.
Essential Responsibilities: In this role, you will:
Provide guidance to data collection teams on test protocols including design of experiments, sample size, and statistical distributions.
Design and implement deep learning networks to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms and clinical reports.
Design and implement scene labeling techniques for medical images
Design and implement image preprocessing and alignment algorithms
Hyper parameter optimization
Demonstrate algorithms meet accuracy requirements on general subject population through statistical analyses and error estimation
Write technical reports summarizing development, analysis, training and validation of the algorithms
Provide design input specifications, requirements, and guidance to software engineers for algorithm implementation for product development
Collaborate with team members and external experts
Provide presentations to the management and cross-functional teams
Stay up-to-date in the field of machine learning. Apply new technologies in development of products
Ph.D. in Computer Science, Electrical Engineering, Bioinformatics or equivalent field with a minimum of 2 years applicable professional experience; OR MS in Computer Science, Electrical Engineering, Bioinformatics or equivalent field with a minimum of 5 years applicable professional experience; OR a BS in Computer Science, Electrical Engineering, Bioinformatics or equivalent field with a great proven track record with a minimum of 8 years applicable professional experience
Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job
Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen
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
Have completed graduate-level coursework in statistics
Experimental design experience
Technical proficiency in languages such as R, Python, C++, Java, etc.
Experience with medical imaging analysis leveraging deep learning methodologies using GPUs
Hands-on advanced proficiency in handling and analyzing large data sets such as medical imaging data.
Extensive experience with neural network libraries such as Caffe, Keras, Tensorflow, Torch etc.
Expertise in broader machine learning techniques
Excellent written communication, verbal communication and presentation skills are required.
Experience with big data technologies and HPC such as the Hadoop, Spark, Hive, Hbase etc.
Experienced with the information technology aspects of data collection, organization, and integration
Deep knowledge in optimal computational environment required for data processing, data mining and machine learning
Software applications development experience
Experience working with biomedical non-imaging data
Understands the competitive landscape, regulatory marketing, etc.
Articulates clearly the main industry dynamics. Demonstrates awareness of important current trends (economic, political, environmental, regulatory, etc.) affecting the industry
Have participated in deep learning competitions (e.g., Kaggle)
Experienced in writing peer-reviewed scientific manuscripts
Uses teamwork skills to achieve goals, solve problems, and manage conflict. Understands individual differences
Systematically breaks problems into component parts. Identifies a successful solution and quantifies the associated risks/outcomes of the solution
Can ask appropriate questions needed to translate an abstract problem into a quantifiable analysis for identifying solutions. Seeks out processes and ideas that are out of the norm.
Identifies when additional information is needed from customer/manager and ask cogent and relevant questions to obtain it.
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