Senior ML Scientist – Causal AI for Biomedicine

Roche

New York (NY)

On-site

USD 184,000 - 257,000

Full time

5 days ago
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Job summary

Roche in Basel is seeking a PhD-level computational scientist to advance ML-driven drug discovery. You will design novel algorithms, frame foundational questions, and collaborate with global teams across Basel, New York, and San Francisco.

You will publish in top ML venues, translate biology challenges into computable models, and contribute to an open, collaborative research culture while advancing healthcare.

Qualifications

  • PhD-level research in ML or related field with strong publication record.
  • Hands-on experience building and training deep neural networks using modern frameworks.
  • Strong communication skills and ability to collaborate across distributed teams.

Responsibilities

  • Design, implement, and benchmark novel ML algorithms grounded in causal representation learning and out-of-distribution generalization.
  • Frame foundational research questions for robust, deployable architectures in drug discovery.
  • Collaborate with cross-functional teams across Basel, New York, and San Francisco.
  • Build and experiment with unconventional neural network architectures using standard DL frameworks.
  • Translate biological challenges into rigorous computational models with clinical impact.
  • Publish high-impact scientific work at top conferences and journals.

Skills

Deep learning
Causal representation learning
OD generalization
Collaboration

Education

PhD in Computer Science, Statistics, Applied Mathematics, Computational Biology, Physics, or related field

Tools

PyTorch

Job description

Roche in Basel is seeking a PhD-level computational scientist to advance ML-driven drug discovery. You will design novel algorithms, frame foundational questions, and collaborate with global teams across Basel, New York, and San Francisco.

You will publish in top ML venues, translate biology challenges into computable models, and contribute to an open, collaborative research culture while advancing healthcare.

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