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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
- 1 year
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- JAX
- Hydra
- Weights & Biases
- GitHub
Benefits
Informal Culture
- Personal expression culture
- Open dialogue
- Genuine connections
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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
- 1 year
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- JAX
- Hydra
- Weights & Biases
- GitHub
Benefits
Informal Culture
- Personal expression culture
- Open dialogue
- Genuine connections
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Roche
Industry
Pharmaceuticals
Description
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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