Senior/Principal Machine Learning Scientist, Perturbation Biology

About the role

Roche's Genentech Research and Early Development (gRED) is seeking a Senior/Principal Machine Learning Scientist for its Perturbation Biology group in the Department of AI for Biology & Translation (AIBT). The scientist will build machine learning models that turn large-scale high-content perturbation experiments into actionable insights for target and drug discovery, working closely with therapeutic area leads and publishing in top-tier venues.

Key responsibilities

• Design and apply predictive machine learning algorithms for lab-in-the-loop perturbation screens for drug and target identification.
• Work on and integrate diverse data modalities such as molecular structures, omics data, images and text.
• Collaborate with biologists, chemists, data scientists and other stakeholders.
• Build and scale machine learning techniques to massive datasets and support deployment of new algorithms.
• Publish in top-tier machine learning venues and scientific journals, and present results at conferences and workshops.

Required profile

• PhD in a quantitative field (Computer Science, Statistics, Mathematics) or in the physical or life sciences with a strong quantitative focus.
• Senior ML Scientist: 0-2 years after PhD; Principal ML Scientist: 2-7 years after PhD.
• Proven track record of developing and applying advanced machine learning models in research or industry.
• Interest in applying machine learning to biology and chemistry for disease treatment.
• Excellent communication, collaboration and problem-solving skills.
• Preferred: practical experience in predictive modeling of perturbation data, generative modeling on molecules, or multimodal data integration.

Required skills

• Scientific programming in Python.
• Machine learning frameworks such as PyTorch, JAX and TensorFlow.
• Statistics, probabilistic modeling and data analysis.
• Publications at venues such as NeurIPS, ICML, ICLR, CVPR, ICCV.

What we offer

• Salary range of $147,800-$274,400 for the Senior ML Scientist and $172,400-$320,200 for the Principal ML Scientist, depending on experience and qualifications.
• A discretionary annual bonus may be available.
• The position does not include relocation benefits.