Roche is committed to fostering a culture where individuals are valued, accepted, and respected, enabling them to thrive personally and professionally
Job Summary
Roche is committed to fostering a culture where individuals are valued, accepted, and respected, enabling them to thrive personally and professionally.
The role involves developing cutting-edge machine learning methods focused on structural biology to support de novo antibody design and therapeutic development.
The position offers collaboration with global research teams and the opportunity to contribute to transformative medicines for patients worldwide.
Matching Summary
Roche is committed to fostering a culture where individuals are valued, accepted, and respected, enabling them to thrive personally and professionally.
Skills & Requirements
Must-have
machine learning model development
protein structural biology expertise
Python programming proficiency
deep learning frameworks like PyTorch or TensorFlow
experience with MLOps frameworks
collaboration with cross-functional teams
Nice-to-have
passion for independent research
public computational project portfolio
experience with geometric deep learning
familiarity with antibody sequence and structure data
excellent communication skills
innovative and collaborative team culture
Key Requirements
M.S. or PhD in Computer Science or related field
1+ years experience training machine learning models
proficiency in Python and deep learning frameworks
experience with MLOps tools like Hydra and Weights & Biases