Tech Stack

Description

You'll partner with business, operational, and clinical leaders to build core technology for new healthcare and life sciences companies, working at the intersection of AI, data engineering, and real-world biomedical data. You'll scope technical feasibility, prototype systems, and productize software to create groundbreaking health AI products.

Requirements

• Experience building and deploying ML/AI systems in production
• Strong Python engineering skills with scalable, testable codebases
• Comfort working in fast-paced, high-ambiguity environments

Responsibilities

• Contribute to technical strategy for new company formation, including scoping early feasibility and building proof-of-concept systems
• Design and build tooling and infrastructure for AI/ML training and inference at scale across health AI applications
• Develop and refine data and model pipelines integrating multimodal health data for AI/ML tasks
• Collaborate with domain experts and stakeholders to incorporate commercial insights into model design