Scientist - Ai & Ml For Protein And Antibody Engineering
Roche
Basel, Switzerland
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Phd in computational biology or related field
Expertise in protein structure-function relationships
Hands-on experience with pytorch or tensorflow
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Roche is seeking a highly skilled Scientist specializing in AI and Machine Learning for Protein and Antibody Engineering. The role involves applying advanced computational modeling and machine learning techniques to enhance drug discovery, with a focus on therapeutic proteins and antibodies.
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Job Summary
This role involves leveraging generative AI to accelerate antibody discovery within a unified team spanning Genentech and Roche Pharma.
The successful candidate will develop and deploy state-of-the-art machine learning models to predict protein structure, affinity, and function.
Roche fosters a culture of personal expression and open dialogue where every voice matters in the mission to prevent, stop, and cure diseases.
Matching Summary
Match Score: 75
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Roche is seeking a highly skilled Scientist specializing in AI and Machine Learning for Protein and Antibody Engineering. The role involves applying advanced computational modeling and machine learning techniques to enhance drug discovery, with a focus on therapeutic proteins and antibodies.
**
Skills & Requirements
Must-have
PhD in Computational Biology or related field
Expertise in protein structure-function relationships
Hands-on experience with PyTorch or TensorFlow
Experience developing discriminative and generative ML models
Advanced Python programming skills
Nice-to-have
Experience with molecular dynamics simulations
Track record of first-author publications
Ability to bridge computational and experimental sciences
Collaborative mindset across cross-functional teams
Key Requirements
PhD required in Computational Biology, Protein Engineering, ML, or CS
Proven scientific track record with high-impact publications
Strong background in deep learning frameworks like JAX or PyTorch