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: