Senior AI Data Scientist

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Faro Health aims to improve lives by helping life sciences companies design optimal clinical trials. Our AI powered software platform optimizes and orchestrates complex clinical development by providing powerful insights about trial design and outcomes. Faro empowers researchers to design more intelligent trials, reducing development costs and reaching milestones faster with better patient experiences.

Faro is a mission driven company seeking world class people who share our passion for improving drug availability and patient outcomes through better clinical trial design. The company prides itself on its vibrant, inclusive, and growth mindset oriented culture. Faro offers competitive compensation and benefits, generous vacation and parental leave, flexible working hours. The company is a hybrid workplace where San Diego employees work from their homes as well as in our lovely main headquarters enjoying a gym, outdoor lawn work area, and food hall.

Remote employees work from home and visit the main office for group events and in-person collaboration.

As a Senior AI Data Scientist, you will be working directly with the Principal AI Data Scientist and the CTO to inform and implement the AI strategy and plans for Faro Health, driving their execution. The company is committed to applying state of the art AI models and a range of medical data sets in order to solve challenging customer problems in innovative and powerful ways.

Projects will leverage LLMs and other forms of machine learning applied to clinical trial design optimization, protocol document generation, outcome prediction, structured data extraction, and many other areas. This is an integral role that requires deep hands-on skills in data analysis, model design, and model building/implementation skills, along with production-level experience with MLOps, model optimization, LLM prompting/guiding/evaluating, and an ability to go from research or idea through to production.

We are looking for a code-heavy (Python) data scientist to help take ideas all the way from prototyping and evaluation to implementation and production deployment.

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.

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 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 healthcare or life sciences domain is preferred.
• Demonstrated ability to rapidly assimilate state of the art AI research and related open source technologies and implement them for evaluation.
• Ability to lead the technical implementation and application of deep learning and large language models to complex problems, with the goal of generating significant business value.
• Expert proficiency in Python and experience in ML frameworks such as PyTorch, data pipeline tools, as well as various libraries supporting data science and machine learning (scikit-learn, pandas, numpy, etc.).
• Experience working in and deploying models on an Azure environment is preferred.
• Familiar with code-based methods of training, prompting, fine-tuning, and evaluating commercial and open source LLMs and their respective libraries.
• Experience leveraging platforms and tools for modeling workflow evaluation (weights&biases, neptune, MLFlow, etc.).
• Experience using and optimizing various RAG methods and LLM agentic workflows with multiple LLMs.
• Experience applying AI to sensitive corporate data hosted in private deployments is preferred.
• Ability to work collaboratively with cross functional teams, including presenting…