Senior Principal Machine Learning Scientist (AI Biology)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Principal Machine Learning Scientist (AI Biology): Developing next-generation AI systems for biology to generate insights into disease mechanisms and therapeutic opportunities with an accent on genomics foundation models and multimodal biological data. Focus on designing state-of-the-art sequence modeling, self-supervised learning, and generative models to accelerate therapeutic innovation.
Location: South San Francisco, CA (Relocation benefits available)
Salary: $202,800 - $376,600
Company
A member of the Roche group and pioneer of the biotechnology industry dedicated to discovering and developing medicines for serious and life-threatening diseases.
What you will do
- Define the scientific roadmap and strategy for genomics foundation models to accelerate therapeutic innovation.
- Develop state-of-the-art sequence modeling, self-supervised learning, and generative models using multimodal biological data.
- Partner with experimental groups to translate machine learning innovation into insights for target discovery and disease understanding.
- Lead and mentor a team of scientists, fostering a culture of innovation and collaboration.
- Maintain scientific excellence by publishing in top-tier ML/genomics venues and representing the company at global conferences.
- Assess cutting-edge advancements in machine learning to identify new opportunities for scientific impact.
Requirements
- PhD in Computer Science, Machine Learning, Computational Biology, Physics, or a related quantitative field.
- Minimum 7 years of post-PhD research experience developing innovative AI/ML methods to advance biological discovery.
- Deep knowledge of foundation models, sequence modeling, self-supervised learning, generative AI, or multimodal ML.
- Expertise in gene regulation, epigenomics, functional genomics, regulatory biology, or cellular systems biology.
- Strong history of publishing novel computational methods in leading AI, ML, or genomics venues.
- Proven ability to lead complex scientific initiatives and influence across multiple disciplines.
Culture & Benefits
- Relocation benefits provided for the role.
- Discretionary annual bonus based on individual and company performance.
- Comprehensive benefits package provided by .
- Work environment focused on scientific excellence, innovation, and transformative impact on patient health.
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