Staff Research Scientist, Health AI

$189,000 - $284,000/Yr

Google - Mountain View, CA

Full-time - Senior

Mountain View, CA

5,001-10,000 employees

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About the position

As a Staff Research Scientist in Health AI at Google, you will lead and contribute to innovative research projects aimed at improving healthcare outcomes through advanced AI technologies. This role involves setting up large-scale tests, managing research agendas, and collaborating with various teams to develop and deploy new products and processes. You will also engage with the wider research community by publishing findings and collaborating with academic institutions.

Responsibilities

• Work with a team to improve healthcare.
• Manage data analysis and curation, developing the necessary infrastructure for research.
• Perform experiments and detailed evaluations from a research or product perspective.
• Collaborate with onsite clinicians, product managers, and other research/engineering teams in Google Research.
• Partner with teams in Search, YouTube, and Gemini.
• Develop and improve AI models on challenging health-related tasks.
• Build and improve AI research infrastructure by ingesting new datasets and maintaining training and evaluation infrastructure.
• Perform research on health-related problems with potential to publish externally.

Requirements

• PhD degree in Computer Science or a related field, or equivalent practical experience.
• 4 years of experience with research agendas across multiple teams or projects.
• One or more scientific publication submissions for conferences, journals, or public repositories.
• Experience in Natural Language Processing, Machine Learning, or Large Language Models.

Nice-to-haves

• 2 years of experience in coding and leading multiple research efforts and influencing research direction.
• Experience in the medical domain.
• Experience with Large Language Model Development.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• 401(k) plan
• Paid holidays
• Paid volunteer time
• Flexible scheduling
• Professional development opportunities
• Employee stock purchase plan