AI Applied Scientist

Qualifications

• Minimum Qualifications
• Advanced degree in a quantitative discipline (e.g., computer science, statistics, applied mathematics, biomedical informatics, biomedical engineering) or equivalent practical experience.
• 2+ years of experience applying advanced machine learning and AI techniques (e.g., supervised and unsupervised methods, LLMs, NLP) to clinical data.
• Direct experience working with Large Language Models (LLMs) and familiarity with prompt optimization technologies.
• Strong proficiency in Python.
• Preferred Qualifications
• 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.
• Experience working with clinical subject matter experts and cross-functional teams.
• Ability to work cross-functionally and lead projects, with a tolerance for ambiguity.
• This role is eligible for Verily-sponsored immigration support.