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Principal Machine Learning Scientist

2 months ago

San Francisco, California, United States Genentech Full time
About the Role

We are seeking a highly skilled and motivated Principal Machine Learning Scientist to join our team at Genentech. 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, including chemists, biostatisticians, clinical scientists, and data engineers, to integrate ML methods into clinical trial development.
  • Lead and contribute to the design and execution of 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 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.
  • Practical experience in one or more of the following areas: reinforcement learning, geometric deep learning, representation learning, and generative learning.
  • Passion for solving complex technical problems and a commitment to staying up-to-date with the latest developments in machine learning.
  • Experience in early-stage clinical trial design and execution and knowledge of regulatory requirements and standards in clinical trials.