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Principal AI Data Scientist

2 months ago

San Diego California, United States Faro Health Inc. Full time
About Faro Health Inc.

Faro Health Inc. is a leading healthcare technology company that aims to revolutionize the clinical trial design process using cutting-edge AI and machine learning techniques.

Job Summary

We are seeking a highly experienced and skilled Senior AI Data Scientist to join our team as the most senior Data Scientist on the team. As a key member of our leadership team, you will be working directly with the CTO to shape the AI strategy and plans for Faro Health Inc., and leading the execution of these plans.

Key Responsibilities
  • Work with Faro leadership, customers, clinical team, and product managers to ideate new applications of machine learning and put together an ML research plan to create value for Faro's customers
  • Implement and evaluate proof of concept prototypes to assess the feasibility of research theses. Collaborate with software engineers to develop tools, end user UX, infrastructure and any other systems needed to productize validated ML models
  • Source and extract signals from a range of structured and unstructured medical data to provide ML-driven insights for generating and optimizing the design of clinical trials
  • Implement and optimize data pipelines and inference models to meet production needs, and monitor and maintain models in production
  • Educate and inform key product team members, internal stakeholders, and customers about the possibilities, risks, and evolving landscape of machine learning models applied to clinical trial design
  • Mentor and oversee more junior data scientists and ML engineers on the team
  • Engage with the latest developments in machine learning and AI applied to the clinical space. Continually develop skills, attend conferences, publish social media articles and papers
Requirements
  • Master's or PhD degree in Computer Science, Machine Learning, Data Science, or another technical field that encompasses data analysis and predictive modeling
  • Minimum 9+ years experience in ML Engineer or Data Scientist roles building AI powered product features at high performing technology organizations
  • Must be both deeply expert hands-on coding and a team leader. Experience in the life sciences domain is preferred
  • Demonstrated ability to rapidly assimilate state of the art AI research and related open source technologies, and use them to come up with innovative ideas that solve problems in new ways
  • Ability to lead and drive an organization's AI strategy and plans - conceiving, prototyping, evaluating, and implementing the application of deep learning and large language models to complex problems, and generating significant business value
  • Expert proficiency in Python and ML frameworks such as PyTorch or Tensorflow applied within Cloud environments. Experiencing deploying production models in an Azure or AWS environment is preferred
  • Familiar with methods of training, prompting, fine-tuning, and evaluating commercial and open source LLMs. Experience with RAG applied to sensitive corporate data hosted in private deployments is preferred
  • Ability to work collaboratively with cross functional teams, including presenting proposed technology vision, collaborating effectively with product, UX, sales, marketing, operations and other groups
  • Ability to move and prototype concepts quickly and have impact in a fast moving startup environment where there might be ambiguous requirements and competing priorities
Benefits
  • Annual salary: $173,000-$244,000
  • Equity: In addition to this position's salary (listed above), equity will be a major component of the total compensation for this position. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
  • US Benefits: Health care plan (Medical, Dental & Vision), Retirement plan (401k), Life insurance (Basic), Short term and long term disability, Paid time off: flexible vacation policy; paid sick days & public holidays observed, Continuous training & development with up to $1000/year reimbursed fees subject to manager approval