Principal Machine Learning Scientist, Data Architect
6 days ago
Job Title: Principal Machine Learning Scientist, Data Architect
About the Role:
Genentech is seeking a highly skilled Principal Machine Learning Scientist, Data Architect to join our Computational Sciences organization. This role will focus on building novel machine-learning methods to enhance drug development and clinical trial design, with a particular emphasis on early-stage clinical trials.
Key Responsibilities:
- Lead research initiatives at the intersection of machine learning, biology, and clinical sciences.
- Conceive and lead collaborations both internally and externally.
- Maintain expertise at the forefront of multiple areas in machine learning and biology/clinical sciences.
- Collaborate with cross-functional teams to integrate ML methods into clinical trial development.
- Develop foundation models using multimodal pre-clinical and clinical datasets.
- Publish research findings in top-tier machine learning and scientific journals and present at leading conferences.
- Mentor junior scientists and contribute to the strategic direction of the ML group within the Computational Science Organization.
Requirements:
- Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field with a strong emphasis on machine learning.
- Proven track record with 2+ years of experience developing and applying advanced ML models in a research or industry setting.
- Proficiency in scientific programming languages such as Python as well as MLOps workflows.
- Extensive experience with machine learning frameworks and libraries.
- Strong background in statistics, probabilistic modeling, and data analysis.
- Domain Knowledge: Understanding of clinical trials, drug development, and biological data.
- Soft Skills: Excellent communication, collaboration, and problem-solving skills.
- Publications: Strong publication record and experience contributing to research communities.
Preferred Qualifications:
- Extensive track record of delivering innovative solutions in machine learning.
- Strong communication skills with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
- Practical experience in one or more of the following areas: reinforcement learning, geometric deep learning, representation learning, and generative learning.
About Genentech:
Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.
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