Data Scientist Software Engineer - Johnson & Johnson Surgery, Copenhagen Denmark

Johnson & Johnson Johnson & Johnson · Pharma · Copenhagen, Denmark

Data Scientist Software Engineer role focused on developing AI and computer vision technologies for surgical visualization. Responsibilities include data collection, dataset preparation for AI/ML training, building deployment tools for training pipelines, and prototyping new features. The role involves working with advanced imaging program teams to drive breakthroughs in medical visualization.

What you'd actually do

  1. Develop artificial intelligence and computer vision based technologies to make surgery more efficient and safe.
  2. Work closely with team to define and collect datasets for development, testing and AI/ML model training.
  3. Build and deploy tools for training pipelines, as well as visualizing, debugging, and evaluating the image data, associated annotations, and objective metrics.
  4. Work in a dynamic, agile environment, partnering with other advanced imaging program teams to drive forward breakthroughs in medical visualization technologies.

Skills

Required

  • Machine learning fundamental concepts
  • MLOps tools
  • Defining and collecting datasets for AI/ML model training
  • Software Engineering
  • C++
  • Python
  • Linux environment

Nice to have

  • ROS/ROS2 frameworks
  • PyTorch
  • Weights and Biases
  • TensorRT
  • Git source control
  • Software testing
  • Continuous integration/DevOps
  • Analytical Reasoning
  • Artificial Intelligence (AI)
  • Business Savvy
  • Cognitive Computing
  • Data Gathering and Analysis
  • Data Modeling
  • Detail-Oriented
  • Execution Focus
  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Persistence and Tenacity
  • Project Management
  • Research and Development
  • SAP Product Lifecycle Management
  • Science
  • Technology
  • Engineering
  • and Math (STEM) Application
  • Scientific Research
  • Scripting Languages
  • Technologically Savvy

What the JD emphasized

  • AI/ML model training
  • computer vision

Other signals

  • Develop AI/ML and computer vision for surgical visualization
  • Build and deploy tools for training pipelines, visualization, debugging, and evaluation
  • Data collection and management for AI/ML model training