Expert in Cryptography / Privacy Preserving Computation

What will keep you challenged

Be a thought-leader in building algorithms (ML and analytics) on federated data networks while preserving the privacy for the underlying data, with a focus on biomedical data

Help us build never-before-seen technologies in the sector of privacy preserving analysis for biomedical data

Help us change the future of healthcare by leveraging the newest technology and insights from scientific research

What to bring with you

  • Background (ideally PhD) in Cryptography, Mathematics or Computer Science + industry experience as a data scientist

  • Knowledge and Skills:

Required:

  • Expert knowledge in privacy preserving computations - in particular cryptography primitives

  • Very good understanding of mathematics & machine learning / deep learning, genuine interest in data and algorithms and excitement about solving difficult problems

  • Ability to apply latest concepts in cryptography / privacy preserving technologies to completely new data

  • Solid understanding of database systems (SQL) and their inner workings

  • Expertise coding in Python, strong grasp of programming best-practices (e.g. code clarity, documentation, git, etc.)

Pluses:​

  • Experience in developing algorithms beyond academic research (for real world production)

  • Microservices & Deployment (Docker, Kubernetes)

Additional Information

  • Contract Type: Full-Time

  • Location: Worldwide (remote) or in Berlin/Cologne

  • Education level: MSc, PhD and more 

  • Experience: > 2 years

Please submit your CV to r.roehm@apheris.com and we will reach out to you and set up a first call to get to know you.

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