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About the Role
As an AI/Machine Learning and Data Scientist, you will collaborate with cross-functional partners to build scalable data and AI capabilities. You will unlock value from structured and unstructured healthcare data to support real-world clinical and operational applications, contributing to HLI's mission of redefining proactive healthcare through precision medicine.
Responsibilities
- Build advanced data science, machine learning, and AI capabilities for data-driven healthcare applications.
- Identify opportunities to leverage complex datasets for innovative, practical solutions.
- Collaborate with cross-functional experts to conceptualize, develop, and implement AI solutions.
- Apply advanced machine learning methods, including LLMs and NLP, to extract insights from unstructured medical datasets.
- Build robust, data-driven solutions that translate complex analysis into practical applications.
- Design and develop scalable data pipelines to improve data quality, accessibility, and reliability.
- Evaluate and implement AI agent platforms and autonomous AI assistants to automate workflows.
- Create reusable and scalable tools to unlock information across data sources.
- Partner with stakeholders to move models and workflows from concept to production.
Requirements
- Advanced degree in a quantitative discipline or equivalent practical experience.
- 4+ years of experience applying advanced machine learning and AI techniques to clinical data.
- Direct experience with Large Language Models and prompt optimization.
- Strong experience in machine learning, AI, or predictive analytics in healthcare, life sciences, or genomics.
- Ability to work cross-functionally in environments with ambiguity and evolving priorities.
- Experience with LLM workflows including fine-tuning and RAG.
- Familiarity with software engineering principles and production deployment.
- Experience partnering with clinical subject matter experts.
- Demonstrated ability to lead technical projects from concept through implementation.
Skills
- Python
- SQL
- JavaScript
- TypeScript
- R
- Machine Learning
- Artificial Intelligence
- Large Language Models (LLMs)
- Natural Language Processing (NLP)
- Predictive Analytics
- Retrieval-Augmented Generation (RAG)
- Data Pipeline Development
Experience Level
- 4+ years of experience
Education Level
- Advanced degree in a quantitative discipline
Benefits
- Innovative culture
- Cutting-edge technology environment
- Career growth opportunities
- Mission-driven work
About the Company
- Global leader in precision health combining genomics, imaging, AI-driven diagnostics, and medical expertise.
- Focused on proactive healthcare, longevity, and disease prevention.
Equal Opportunity
- Human Longevity Inc. is an Equal Opportunity Employer.