Roche is seeking to harness the transformative power of data and Artificial Intelligence (AI) to assist scientists in delivering more innovative and transformative medicines for patients worldwide, by developing the next generation of Machine Learning models to derive actionable insights from large-scale high-content perturbation experiments.
Requirements
- Advanced skills in scientific programming in Python.
- Extensive experience with Machine Learning frameworks and libraries (e.g., PyTorch, JAX, Tensorflow).
- Proficiency in software engineering best practices: modular design, version control , testing, and continuous integration/deployment pipelines.
- Excellent knowledge of the practical application of advanced ML models in a research or industry setting.
- Expertise with high-content perturbation datasets, and optimizing the training of machine learning models on these datasets.
- Practical experience in scientific pipelining tools (e.g. airflow, snakemake, nextflow)
Responsibilities
- Maintain and advance Machine Learning algorithms to extract representations from multimodal high-content perturbation screens to identify promising novel drug targets, employing model classes such as vision transformers, causal representation learning and geometric deep learning.
- Scale our Machine Learning techniques to massive datasets and lead the deployment of novel Machine Learning algorithms.
- Develop and deploy frameworks for evaluating the performance of Foundation Models on large test datasets.
- Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders.
- Contribute to software architecture and codebase quality, including documentation, testing frameworks, and version control.
Other
- PhD degree in a quantitative field ( e.g., Computer Science, Physics, Engineering).
- Excellent communication, collaboration, and problem-solving skills.
- Relocation benefits are not available for this opportunity
- Genentech is an equal opportunity employer.
- If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
