Senior Manager AI and Data Science

Description:

Position Description:

• Lead a team of AI and data science.
• Full-time
• Mid-Senior level
• Be responsible for:
• Being the owner of data collection, management, and analysis of data for algorithm development purposes, including:
• Working with the clinical research team in order to collaborate with them on data collection.
• Working closely with the cloud solution (CARTONET) team to support managing clinical data that is related to the cloud solution.
• Lead Artificial Intelligence algorithm development and related algorithms including
• Design and implement Machine Learning Algorithms to be integrated into the Company’s key products; Build the new models, evaluate and improve them.
• Provide technical direction and guidance on algorithm and AI/ML development.
• Assist team in planning and prioritizing their work.
• Conduct hands-on research working with noisy and complex data sets; Solve difficult unconventional problems, using advanced Machine Learning methods.
• Help select tools, equipment and infrastructure for prototyping and production environments.
• Collaborate with different J&J MedTech franchises in relation to AI and Data Science
• Working cross-functionally with many people and departments in the company – R&D, Project Managers, QA and Regulatory
• Drive innovation; promote knowledge and use of new tools
• Developing and building a strong talent
• Build new capabilities leveraging both internal talent and external expertise as required
• Provide scientific expertise to support multiple initiatives while being rooted in strong product-oriented and clinical understanding.
• Provide support for publications, patents and regulatory submissions.
  
  

• Education – at least MSc in Engineering/ Computer Science/ Physics. PhD – an advantage
• At least 7 years of engineering industrial experience, of which 3 years of AI/machine learning related. Experience in Medical Devices- an advantage
• Experience in leading a team
• Knowledge about the most used machine learning algorithms (e.g. Neural Networks, Ensemble Tree methods, Reinforcement Learning)
• Experience in one or more object-oriented languages, including Python
• Experience with regression/classification problems using Machine Learning and Deep Learning
• Experience in developing cloud-based application; in deep learning, time series analysis or signal processing
• Advantage - Experience with a variety of data sets (Electronic Signals/Images)