Principal Machine Learning Scientist
1 day ago
We are seeking a highly skilled and motivated Principal Machine Learning Scientist to join our Computational Sciences organization. This role will focus on building novel machine learning methods to enhance drug development and clinical trial design.
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.
- Educational Background: Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field with a strong emphasis on machine learning.
- Experience: 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 (e.g., familiar with code version control, high-performance compute infrastructures, and machine learning experiment monitoring workflows).
- Extensive experience with machine learning frameworks and libraries (e.g., JAX, PyTorch, Tensorflow).
- 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, including scientific journals and conferences like NeurIPS, ICML, ICLR, CVPR, ICCV, etc.
- You have an 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 as well as interfacing with scientific leadership.
- You have practical experience in one or more of the following areas: reinforcement learning, geometric deep learning, representation learning, and generative learning.
- You have a passion for solving complex technical problems and a commitment to staying up-to-date with the latest developments in machine learning.
- You have experience in early-stage clinical trial design and execution and knowledge of regulatory requirements and standards in clinical trials.
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