Senior Data Scientist, AI Agent at Verily

Boston, Massachusetts, United States

Verily Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
HealthcareIndustries

Requirements

  • Advanced degree in a quantitative discipline (e.g., statistics, computer science, applied mathematics, or similar) or equivalent practical experience
  • 5+ years of experience with applying ML in digital health applications
  • Direct experience working with LLM and familiar with various prompt optimization technologies
  • Ph.D. in Computer Science or Engineering (preferred)
  • 5+ years of experience with LLM models, including prompting, fine-tuning and retrieval augmented generation (RAG) (preferred)
  • Familiarity with software engineering principles and experience deploying algorithms in production environments (preferred)
  • Experience developing transformer based deep learning algorithms using TensorFlow or PyTorch, and knowledge of latest architectures (preferred)

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
  • Develop and deploy models that enable scalable curation of RWD, including multi-source integrations and reconciliations, creating derived features from source data (e.g., abstraction of clinical concepts from unstructured data), and facilitating data quality assessments
  • 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

Skills

Key technologies and capabilities for this role

LLMsAI AgentsFoundational ModelsEHRsClaims DataReal World DataData IntegrationUnstructured Data ProcessingData Quality AssessmentMachine LearningData Curation

Questions & Answers

Common questions about this position

What is the salary for this Senior Data Scientist role?

This information is not specified in the job description.

Is this position remote or does it require working from an office?

This information is not specified in the job description.

What are the minimum qualifications for this role?

Candidates need an advanced degree in a quantitative discipline like statistics, computer science, or applied mathematics (or equivalent experience), plus 5+ years applying ML in digital health and direct experience with LLMs including prompt optimization.

What does Verily do and what is their mission?

Verily is a subsidiary of Alphabet using a data-driven approach to change health management and healthcare delivery, focused on precision health by generating and activating data from clinical, social, behavioral, and real-world sources.

What experience makes a candidate stand out for this position?

Preferred qualifications include a Ph.D. in Computer Science or Engineering, 5+ years with LLMs (prompting, fine-tuning, RAG), software engineering for production deployment, and experience with transformer-based deep learning using TensorFlow or PyTorch.

Verily

Comprehensive healthcare platform

About Verily

Verily is an Alphabet company combining a data-driven, people-first approach to bring the promise of precision health to everyone, every day. Verily is focused on generating and applying evidence from a wide variety of sources to change the way people manage their health and the way healthcare is delivered - shifting the paradigm from “one size fits all” medicine to one focused on a more comprehensive view of the individual that leads to a more personalized path forward.

N/AHeadquarters
2015Year Founded
N/ACompany Stage
1,001-5,000Employees

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