Location(s): United States; California, Massachusetts; Boston
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: We are looking for a Data Scientist to work with key Artificial Intelligence(AI), Deep Learning(DL) Clinical Partnership accounts to assist and build deep learning algorithms using imaging and non imaging data. This individual will work with customer clinical data scientists and interface with internal GE software and data science teams to deliver high quality software in a fast paced, challenging, and creative environment
Contribute to technical teams (customer and GE) in development, deployment and application of applied analytics, predictive analytics and prescriptive analytics capabilities
Be a thought leader and guide clinical data science at key customer partnerships – data strategy, labeling techniques, annotation and curation methodologies
Be an expert in industry wide available best in class open source tool stacks and integrate work done at a customer site into GE environment
Assist in building self-learning systems that can assist in medical diagnosis and move to predictive results based on multi parametric data sets (imaging, non imaging like EMR and wave form)
Work with the engineering team to incorporate your analyses and solutions, including working with the visualization team to create intuitive UI and rich UX stories. Partner with data engineers on data quality assessment, data cleansing and data analytics efforts
Provide guidance to data collection teams on test protocols including design of experiments, sample size, and statistical distributions. 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
Stay up-to-date in the field of machine . Apply new technologies in development of product
Willingness to travel up to 50% to multiple customer sites
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.
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 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 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
knowledge in optimal computational environment required for data processing, data mining and machine
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 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.
Locations: United States; California, Massachusetts; Boston
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