DevJobs

Senior Manager AI and Data Science

Overview
Skills
  • Python Python ꞏ 7y
  • ML ML ꞏ 3y
  • Deep learning Deep learning
  • Cloud-based application development
  • Ensemble Tree methods
  • Neural Networks
  • Reinforcement Learning
  • Signal processing
  • Time series analysis
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.

Qualifications:

Requirements:

  • 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)

Johnson & Johnson