Staff Machine Learning Scientist - Translational AI

Natera

Deutschland

Vor Ort

EUR 80.000 - 120.000

Vollzeit

14 Tage+

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Zusammenfassung

Natera is looking for a Staff Machine Learning Scientist – Translational AI to lead technical initiatives in deep learning, computational biology, and molecular diagnostics. This role will oversee genomic model architecture, ensure clinical validity, and collaborate with diverse teams to enhance diagnostic processes.

The ideal candidate will possess strong deep learning expertise and the capacity to drive innovative solutions in AI applications. This position offers significant autonomy in a cutting-edge environment focused on improving patient outcomes.

Qualifikationen

  • Expertise in deep learning and models for computational biology.
  • Ability to drive scientific leadership in AI applications.
  • Experience with genomic and multi-omic data is preferred.

Aufgaben

  • Provide technical leadership at the intersection of deep learning and molecular diagnostics.
  • Drive the architecture and validation of genomic models.
  • Collaborate across divisions to transition models into clinical applications.

Jobbeschreibung

POSITION SUMMARY

We are seeking a Staff Machine Learning Scientist – Translational AI to provide technical leadership at the intersection of deep learning foundation models, computational biology, and molecular diagnostics. This ownership role drives the architecture and validation of genomic, transcriptomic, and multimodal sequence models to accelerate patient stratification, target identification, and therapeutic monitoring across our cell-free DNA (cfDNA) and multi-omic platforms. This Staff-level position operates with broad technical autonomy, driving modeling strategy across multiple concurrent portfolios while maintaining direct execution responsibilities in model compilation, scaling, and testing. Working within a builder framework, you will align across AI Research, Bioinformatics, and Clinical Science divisions to transition advanced representation learning models into reproducible, clinically valid diagnostic assets.

PRIMARY RESPONSIBILITIES

Scientific Leadership in Translational AI

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