Principal ML Engineer – Genomics

Switzerland, Netherlands or Remote 
Principle Machine Learning Engineer – Genomics 

We are looking to build a world class team of Engineers & Scientists to work in collaboration with leading Hospitals & Institutions and support Doctors with AI assisted decision making along with giving researchers access to powerful Machine Learning based models.

The Role?

As a Principal Machine Learning Engineer you will work on the ML data platform developing and deploying ML pipelines. 

These contributions will work towards data-driven AI and help navigate our mission to diagnose and treat Cancer at the early stages.

What you will do?

  • Develop our ML data framework and internal tools
  • Participate in cutting edge research in statistical modeling and inference of biological problems (including cancer research, genomics, image recognition, computational biology/bioinformatics, and more)
  • Build for significant growth and scaling challenges as we transition from infrastructure as services to research
  • Use and augment a biological data lake
  • Improve the reliability and scalability of our ML framework as it grows
  • Develop software and workflows that support a long-term vision for ML research and production
  • Enable data driven science discoveries in biology and healthcare

What's needed?

  • PhD in Computer Science/ related or comparable professional  experience
  • 5+ years of experience with production infrastructure, automation, and software engineering
  • Expertise building and launching large-scale ML frameworks that supports the experimental needs of a research team
  • Knowledge of open-source data lake(house) architectures 
  • Distributed data processing and analysis tooling, Spark / Flink / Beam, etc.
  • Machine learning and data science tools, such as TensorFlow, PyTorch, and Keras.

What to do now?

If you feel like the above role is a good match for your experience then please send your CV to or call +442035003272 to discuss!

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