Senior Machine Learning Scientist, AI for Biology & Translation (AIBT)
Roche
Summary
AI Biology & Translation (AIBT) develops and applies state-of-the-art artificial intelligence to accelerate biomedical discovery across Genentech Research and Early Development. We combine advances in foundation models, multimodal machine learning, and large-scale biological data to advance target discovery, disease understanding, biomarker development, and translational science. We are seeking a Senior Machine Learning Scientist with deep expertise in modern machine learning to lead the development and application of next-generation AI technologies for biomedical research.
Job description
In this role, you will:
- Develop and apply state-of-the-art machine learning methods to solve challenging problems in biology and translational research.
- Develop, adapt, and evaluate foundation models, large language models (LLMs), multimodal models, and generative AI approaches for biomedical applications.
- Design scalable machine learning workflows that integrate diverse biological, molecular, imaging, and clinical datasets.
- Lead technical efforts to optimize, benchmark, validate, and interpret AI models for scientific use.
- Collaborate closely with computational scientists, software engineers, biologists, clinicians, and therapeutic area researchers to translate cutting-edge AI into impactful scientific capabilities.
- Drive technical excellence by establishing best practices for model development, evaluation, reproducibility, and deployment.
- Stay at the forefront of advances in machine learning and identify opportunities to apply emerging AI technologies to biomedical discovery.
Who you are
- Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Computational Biology, Statistics, or a related quantitative discipline with significant postdoctoral and/or industry experience.
- Demonstrated expertise in deep learning, foundation models, generative AI, large language models, multimodal learning, or related areas.
- Proven experience leading technically complex machine learning projects from research through deployment or scientific application.
- Strong programming skills in Python and experience with modern ML frameworks such as PyTorch, JAX, TensorFlow, and Hugging Face.
- Experience adapting, fine-tuning, evaluating, and deploying large-scale AI models.
- Experience developing reproducible and scalable machine learning pipelines and software.
- Excellent communication skills and demonstrated ability to collaborate effectively across multidisciplinary scientific teams.
- A strong interest in applying cutting-edge AI to advance biology, translational science, and drug discovery.
Preferred
- Publications or significant technical contributions in machine learning, artificial intelligence, computational biology, or related disciplines.
- Experience with multimodal biomedical datasets, including genomics, transcriptomics, proteomics, imaging, pathology, or clinical data.
- Experience building production-quality AI systems or scalable machine learning infrastructure.
Requirements
- Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Computational Biology, Statistics, or a related quantitative discipline with significant postdoctoral and/or industry experience.
- Demonstrated expertise in deep learning, foundation models, generative AI, large language models, multimodal learning, or related areas.
- Proven experience leading technically complex machine learning projects from research through deployment or scientific application.
- Strong programming skills in Python and experience with modern ML frameworks such as PyTorch, JAX, TensorFlow, and Hugging Face.
- Experience adapting, fine-tuning, evaluating, and deploying large-scale AI models.
- Experience developing reproducible and scalable machine learning pipelines and software.
- Excellent communication skills and demonstrated ability to collaborate effectively across multidisciplinary scientific teams.
- A strong interest in applying cutting-edge AI to advance biology, translational science, and drug discovery.
Benefits
- Annual bonus
- Healthcare benefits
Company overview
Roche is a Swiss multinational healthcare company and a global pioneer in pharmaceuticals and diagnostics, founded in 1896 and headquartered in Basel, Switzerland. As the world's largest biotech company and the fifth-largest pharmaceutical company by revenue, Roche operates through two primary divisions: Pharmaceuticals and Diagnostics. The company is renowned for its leadership in personalized healthcare, combining strengths in both drug development and diagnostic testing to deliver tailored treatments for patients. Roche maintains a strong focus on oncology, immunology, infectious diseases, ophthalmology, and central nervous system disorders, with a portfolio that includes over 30 medicines on the World Health Organization's Model Lists of Essential Medicines. The company owns significant subsidiaries including Genentech, Chugai Pharmaceuticals, Ventana Medical Systems, and Foundation Medicine. With approximately 103,000 employees worldwide and operations in over 100 countries, Roche has established itself as a leader in cancer treatments globally while maintaining a robust pipeline of innovative therapies and diagnostic solutions. The company's commitment to sustainability has been recognized through ten consecutive years as Group Leader in the Dow Jones Sustainability Indices within the Pharmaceuticals, Biotechnology & Life Sciences Industry.