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46173Open Positions

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Internship in 4D Visualization: Retinal Dynamics in Home OCT (6 months)

Roche
Found 2 weeks ago
Location
Basel, Switzerland
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
2 weeks ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • computer graphics
  • volume rendering
  • isosurface
  • image processing
  • image registration
  • Python
  • 3D visualization libraries
  • VTK
  • PyVista
  • VisPy
  • Blender scripting
  • Paraview
  • Slicer
  • Meshlab
  • IMARIS
  • volumetric data
  • voxel processing
  • GPU computing
  • CUDA
  • OpenCL
  • programmatic video generation
  • animation
  • ffmpeg
  • imageio
  • matplotlib.animation
  • Ophthalmology
  • medical imaging

Soft Skills

  • curiosity
  • drive to learn and innovate
  • ability to take initiative
  • suggest new ideas
  • presentation skills
  • communication skills
  • articulate complex scientific ideas towards non-technical stakeholders

Job Description

As an Intern in the Imaging Data Insights pRED group, which is part of the Computational Sciences Center of Excellence, you will focus on advancing our understanding of retinal diseases and their response to treatment to support Roche’s Ophthalmology pipeline and strategy. Optical Coherence Tomography (OCT) is an imaging modality that allows us to acquire three-dimensional, micrometer-resolution scans of the retina in seconds, however only single slices are typically evaluated manually by clinicians to assess the presence of various pathological features. This leaves a critical gap in the understanding of disease progression and treatment response. To bridge this gap and communicate drug impact effectively, you will build 4D (3D + time) visualizations for OCT scans and corresponding segmentations acquired daily by patients at home which will reveal short-term pathology dynamics missed by standard imaging. You will be working with an expert mentor while gaining profound proficiency in medical imaging.

Requirements

  • Currently enrolled in a relevant university degree program (not Postgraduate)
  • Knowledge in computer graphics (e.g. volume rendering, isosurface, etc. ) and image processing (e.g. image registration)
  • Strong proficiency in Python and practical experience with 3D visualization libraries (VTK, PyVista, VisPy, or Blender scripting, or similar) and tools (e.g., Paraview, Slicer, Meshlab, IMARIS or similar)
  • Ability to confidently work with volumetric data (voxel processing)
  • Demonstrated curiosity and drive to learn and innovate, with the ability to take initiative and suggest new ideas
  • Excellent presentation and communication skills, with the ability to clearly articulate complex scientific ideas towards non-technical stakeholders
  • Fluent in English (both written and spoken)

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Languages

  • English

Nice to Haves

  • Familiarity with GPU computing (CUDA/OpenCL)
  • Experience in programmatic video generation/animation (e.g., ffmpeg, imageio, or matplotlib.animation) to support the project's aim of "time course visualisation"
  • Previous experience in the Ophthalmology field or general medical imaging in academia or industry
▶Apply Now

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