Senior AI Data Scientist

Summary

Join Faro Health as a Senior AI Data Scientist and contribute to improving lives by helping life sciences companies design optimal clinical trials. You will work directly with AI leadership and the CTO to implement the AI strategy, leveraging LLMs and machine learning for clinical trial optimization. This role demands deep hands-on experience in data analysis, model building, and MLOps. You will collaborate with cross-functional teams, mentor junior data scientists, and stay abreast of the latest AI advancements. Faro offers competitive compensation, including a base salary of $168,000 to $211,000 plus equity, and generous benefits such as flexible vacation, parental leave, and a hybrid work environment.

Requirements

• University degree in Computer Science, Machine Learning, Data Science, or another technical field that encompasses data analysis and predictive modeling
• Minimum 5+ years experience in ML/AI 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
• Hands-on experience coding RAG LLM pipelines for production using LlamaIndex or similar tools (not just cloud services)
• Hands-on experience coding long-form text generation applications for production using data, prompt engineering, evaluation/validation methods, and GenAI LLMs (not just cloud services)
• Hands-on experience with code-based methods of training, prompting, fine-tuning, and evaluating commercial and open source LLMs and their respective Python libraries for production
• Hands-on experience coding and optimizing advanced RAG methods and LLM agentic workflows with multiple LLMs for production
• Expert in Python and production-grade experience in LLM frameworks such as LlamaIndex, LangChain, and LangGraph
• 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

Responsibilities

• Work with Faro AI leadership, clinical team, and product managers to design new applications of machine learning and execute our AI/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
• Foster knowledge sharing and education to key product team members, internal stakeholders, and internal engineers about the feasibility, costs, and requirements for machine learning models applied to clinical trial design
• Mentor 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

Preferred Qualifications

• Experience in the healthcare or life sciences domain is preferred
• Experience working in and deploying models on an Azure environment is preferred
• Demonstrated ability to rapidly assimilate state of the art AI research and related open source technologies and implement them for evaluation
• Experience working with clinical trials and their design
• Ability to lead the technical implementation and application of AI and large language models to complex problems, with the goal of generating significant business value
• Experience with common ML frameworks like PyTorch, Scikit-Learn, Pandas, etc
• Experience leveraging platforms and tools for modeling workflow evaluation (weights&biases, neptune, MLFlow, etc.)
• Experience applying AI to sensitive corporate data hosted in private deployments is preferred
• A knack for creating compelling visualizations and non-technical explanations is a bonus

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k)
• Stock Option Plan
• Life Insurance (Basic)
• Short Term and Long Term Disability
• Paid Time Off (Flexible Vacation Policy, Sick & Public Holidays)
• Training & Development
• Work from Home, Office or Hybrid