Senior Data Analytics Researcher

Responsibilities

• You will collaborate with a talented team of researchers, engineers, and clinicians to develop and deploy innovative AI-powered solutions for clinical trials
• Your expertise in data analysis, model design, and model implementation will be crucial in developing and deploying state-of-the-art AI models and medical data sets
• Lead the development and implementation of AI-powered solutions for clinical trials, working closely with cross-functional teams
• Collaborate with researchers, engineers, and clinicians to develop and deploy innovative AI-powered solutions for clinical trials
• Source and extract signals from structured and unstructured medical data to provide ML-driven insights for generating and optimizing clinical trial designs
• Optimize data pipelines and inference models to meet production needs and monitor/maintain models in production
• Provide training and mentorship to junior data scientists and ML engineers
• Stay current with the latest developments in machine learning and AI applied to the clinical space

Full Description

Faro Health Inc. is a forward-thinking healthcare company that applies artificial intelligence to transform clinical trials. As a Senior AI Data Scientist, you will lead the development and implementation of AI-powered solutions for clinical trials.

You will collaborate with a talented team of researchers, engineers, and clinicians to develop and deploy innovative AI-powered solutions for clinical trials. Your expertise in data analysis, model design, and model implementation will be crucial in developing and deploying state-of-the-art AI models and medical data sets.

Key Accountabilities

• Lead the development and implementation of AI-powered solutions for clinical trials, working closely with cross-functional teams.

• Collaborate with researchers, engineers, and clinicians to develop and deploy innovative AI-powered solutions for clinical trials.

• Source and extract signals from structured and unstructured medical data to provide ML-driven insights for generating and optimizing clinical trial designs.

• Optimize data pipelines and inference models to meet production needs and monitor/maintain models in production.

• Provide training and mentorship to junior data scientists and ML engineers.

• Stay current with the latest developments in machine learning and AI applied to the clinical space.