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Internship Bioinformatics

We are VitroScan, a biotech start-up developing a new diagnostic method for cancer patients to give them the best available treatment. Our technology uses 3D microscopy, which generates lots of images (think: ~300 Gb raw data weekly). Currently we’re processing these with a traditional computer vision pipeline, but we think (know) that deep learning-based methods can do this more efficiently and reliably. Therefore we are looking for a master’s student to develop one or more deep learning models to analyse our images.

What we offer:

  • Lots of data with ground truth labels (from our current pipeline)

  • Generous GPU cloud budget for you to do your deep learning work

  • Two bioinformaticians with image analysis and DL experience to help you succeed

  • Using your DL skills for a good purpose: better treatments for cancer patients

  • A start-up environment at the intersection of academia and industry

  • Good lunch discussions and monthly Thursday borrels!

Project overview:

  • We expect you to develop a deep learning model, using python and pytorch.

  • We challenge you to think about how the model would be used in production (monitoring, data drift, pathological cases, workflow integration)

  • Your project will be in close collaboration with the team’s biologists

  • For this, we are looking for an internship of minimum 6 months, no shorter.

  • We are flexible in start date

What we are looking for:

  • Top-notch student: Resourceful and driven to solve problems

  • Master student in the field of biology, bioinformatics or computer science

  • Demonstrable experience with computer vision problems and/or deep learning on images. Can be a previous internship / side job, a Kaggle project or GitHub repo.

  • Interest in biology and coding

Interested? Apply here

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