Machine Learning Scientist Lead
2 days ago
About Genentech
We are a company that innovates to create a healthier future for everyone. Our mission is to deliver groundbreaking science to ensure people have access to the healthcare they need today and for generations to come.
The Opportunity
We seek an exceptional Principal Machine Learning Scientist to join our Computational Sciences organization, focusing on building novel machine-learning methods to enhance drug development and clinical trial design. This role will lead research initiatives at the intersection of machine learning, biology, and clinical sciences, developing innovative solutions in machine learning with strong communication skills.
Responsibilities
- Conceive and lead collaborations 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.
- Design and execute clinical trials by developing 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.
- Technical Skills: Proficiency in scientific programming languages such as Python, MLOps workflows, and extensive experience with machine learning frameworks and libraries.
- Domain Knowledge: Understanding of clinical trials, drug development, and biological data.
- Soft Skills: Excellent communication, collaboration, and problem-solving skills.
Preferred Qualifications
- Extensive track record of delivering innovative solutions in machine learning, strong communication skills, and ability to effectively communicate technical concepts.
- Practical experience in reinforcement learning, geometric deep learning, representation learning, and generative learning.
What We Offer
- Estimated salary range for this position based on location: $188,200 to $349,400.
- A discretionary annual bonus may be available based on individual and Company performance.
- This position also qualifies for the benefits detailed at the link provided below.
Benefits
We are an equal opportunity employer and we embrace the increasingly diverse world around us. We prohibit 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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