Dein persönlicher KI-Karriere-Agent
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 1 Jahr
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- JAX
- Hydra
- Weights & Biases
- GitHub
Benefits
Lockere Unternehmenskultur
- 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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 1 Jahr
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- JAX
- Hydra
- Weights & Biases
- GitHub
Benefits
Lockere Unternehmenskultur
- Personal expression culture
- Open dialogue
- Genuine connections
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Roche
Branche
Pharmaceuticals
Beschreibung
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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