Data Scientist, AI Agent
About The Position
As a Data Scientist at Verily, you will be supporting our core mission to drive innovation in evidence generation for research and care decisions. We are building new types of longitudinal datasets that have foundations of RWD sources, such as EHRs (electronic health records) and claims data, and are augmented with prospective data collection. You will develop and deploy models that enable scalable curation of RWD. This will include multi-source integrations and reconciliations, creating derived features from the source data (e.g., abstraction of clinical concepts from unstructured data), and facilitating data quality assessments. You will work with a diverse cross-functional team to build reusable and scalable tools and to deliver products that unlock information from structured and unstructured clinical data.
Requirements
- Advanced degree in a quantitative discipline (e.g., statistics, computer science, applied mathematics, or similar) or equivalent practical experience.
- Experience with applying ML in digital health applications.
- Direct experience working with LLM and familiar with various prompt optimization technologies.
Nice To Haves
- Ph.D. in Computer Science or Engineering.
- Experience with LLM models, including prompting, fine-tuning and retrieval augmented generation (RAG).
- Familiarity with software engineering principles and experience deploying algorithms in production environments.
- Experience developing transformer based deep learning algorithms using TensorFlow or PyTorch, and knowledge of latest architectures.
Responsibilities
- Collaborate with cross-functional teams to conceptualize, develop, and implement AI solutions tailored to diverse healthcare applications.
- Architect and implement foundational models and large language model (LLM) based agents to achieve optimal performance and efficiency.
- Conduct cutting-edge research and stay informed on emerging advancements in LLMs, medical foundational models, and AI agents.
- Effectively communicate complex technical methodologies and results through clear, well-structured reports and presentations for both technical and non-technical audiences.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
