מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
Roles and Responsibilities
In this role, you will:
• Interact with global customers, clinicians, and GE HealthCare personnel to understand customer needs and clinical workflows that can be solved by AI/ML or AI/ML augmented algorithms
• Ensure scientific rigor in methods used to design, implement, and test the clinical performance of AI/ML or AI/ML augmented algorithms
• Design, implement, test and document AI/ML algorithms for Diagnostic Cardiology products based on clinical needs
• Develop strategies for organic development or external partnerships to deliver commercialize AI/ML algorithms
Work with customers to capture data and analytics requirements
• Develop, verify, and validate analytics to address customer needs and opportunities.
• Work alongside algorithm engineers and software engineers to translate algorithms into commercially viable products and services.
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
• Perform exploratory and targeted data analyses using descriptive statistics and other methods.
• Work with data engineers on data quality assessment, data cleansing and data analytics
• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
• Communicate methods, findings, and hypotheses with stakeholders.
Education Qualification
For roles outside USA:
Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with advanced experience.
For roles in USA: Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with minimum of 6 years of experience
Desired Characteristics and Technical Expertise:
• Demonstrated skill in data management methods
• Demonstrated skill in feature extraction and realtime analytics development and deployment
• Demonstrated skill in prescriptive analytics and analytic prototyping
• Demonstrated experience with risk analysis of machine learning algorithm implementations in terms of the impact on patient safety
• Demonstrated experience developing and/or reviewing intellectual property for machine learning algorithms
• Willingness to attend scientific meetings, and customer/luminary meetings as necessary to obtain input
• Willingness to publish papers and make scientific presentations to promote Diagnostic Cardiology algorithm technology
• Demonstrated knowledge of Cardiology workflow and use of diagnostic ECG testing
• Demonstrated skill or experience with computerized analysis of physiologic signals
• Knowledge of electrocardiography and cardiac physiologyDomain Knowledge:
• Demonstrated skill in defining and delivering customer value
• Demonstrated knowledge of Cardiology workflow and use of diagnostic ECG testing
• Demonstrated skill or experience with computerized analysis of physiologic signals
• Knowledge of electrocardiography and cardiac physiology
• Experience with Quality Management Systems and Design Controls required for medical device development, including SaMD
Leadership:
• Demonstrated skill at working in a team setting
• Demonstrated skill in critical thinking and problem solving methods
• Demonstrated skill in presentation and influencing skillsPersonal Attributes:
• Demonstrated awareness of how to succeed in ambiguous circumstances
Note:
To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.
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