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Machine Learning Scientist(m/w/x)
Structural biology modeling and deep learning software development for de novo antibody design at global healthcare firm. Proficiency in Python and MLOps frameworks like Hydra or Weights & Biases required. Lab-in-the-loop research environment with public computational portfolio preferred.
Requirements
- M.S. or PhD in Computer Science, Statistics, Physics, or related technical field
- 1+ years experience designing and training machine learning models
- Proficiency in Python and PyTorch, TensorFlow, or JAX
- Experience with MLOps frameworks like Hydra and Weights & Biases
- Public portfolio of computational projects
- Experience with geometric deep learning or sequence models
- Experience or familiarity with antibody sequence and structure data (plus)
- Excellent communication and English fluency
- Passion for driving projects in cross-functional environments
Tasks
- Develop machine learning methods for modeling biological data
- Focus on structural biology applications
- Deliver deep learning software for drug discovery
- Support de novo antibody design efforts
- Enable lab-in-the-loop research processes
- Collaborate with global AI and ML scientists
- Partner with biologists and technologists
- Design methods for de novo protein therapeutics
- Write structured, tested, and maintainable code
- Participate in proactive code reviews
- Contribute to a collaborative team culture
- Implement research ideas into production environments
Work Experience
Education
Languages
Tools & Technologies
Benefits
Informal Culture
- •Personal expression culture
- •Open dialogue
- •Genuine connections
- 1201 F. Hoffmann-La Roche AGFull-timeOn-siteNot specifiedBasel
- Roche
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Machine Learning Scientist(m/w/x)
Structural biology modeling and deep learning software development for de novo antibody design at global healthcare firm. Proficiency in Python and MLOps frameworks like Hydra or Weights & Biases required. Lab-in-the-loop research environment with public computational portfolio preferred.
Requirements
- M.S. or PhD in Computer Science, Statistics, Physics, or related technical field
- 1+ years experience designing and training machine learning models
- Proficiency in Python and PyTorch, TensorFlow, or JAX
- Experience with MLOps frameworks like Hydra and Weights & Biases
- Public portfolio of computational projects
- Experience with geometric deep learning or sequence models
- Experience or familiarity with antibody sequence and structure data (plus)
- Excellent communication and English fluency
- Passion for driving projects in cross-functional environments
Tasks
- Develop machine learning methods for modeling biological data
- Focus on structural biology applications
- Deliver deep learning software for drug discovery
- Support de novo antibody design efforts
- Enable lab-in-the-loop research processes
- Collaborate with global AI and ML scientists
- Partner with biologists and technologists
- Design methods for de novo protein therapeutics
- Write structured, tested, and maintainable code
- Participate in proactive code reviews
- Contribute to a collaborative team culture
- Implement research ideas into production environments
Work Experience
Education
Languages
Tools & Technologies
Benefits
Informal Culture
- •Personal expression culture
- •Open dialogue
- •Genuine connections
About the Company
Roche
Industry
Pharmaceuticals
Description
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
- 1201 F. Hoffmann-La Roche AG
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