Description

You will build predictive solutions and AI tools to improve clinical workflows and organizational efficiency.

This role is remote.

Responsibilities

• Collaborate with stakeholders to define objectives and design AI/ML solutions that meet business needs.
• Perform exploratory data analysis to evaluate data suitability for specific AI/ML use cases.
• Optimize Large Language Model output through prompt engineering and the development of retrieval-augmented generation (RAG) pipelines.
• Develop, test, and deploy scalable, interpretable machine learning models and production-quality pipelines.
• Conduct model audits for fairness, bias, equity, and interpretability.

Required Skills

• 10+ years of experience in a data science role.
• Expert-level Python development and SQL experience.
• PhD in a data science-related area.
• Deep expertise in machine learning, including hyperparameter tuning and complex feature engineering.
• Proficiency in building and implementing complex machine learning pipelines.
• Experience with prompt engineering and LLM optimization.
• Advanced knowledge of clinical data querying and analysis.
• Experience deploying custom models to cloud platforms and working within MLOps frameworks.
• Hands-on experience with Python, Git, Docker, GitHub, Big Query, Data Analysis, and Vertexai.

Preferred Skills

• Experience leading large-scale projects and coaching executives on leveraging ML/AI for decision-making.

Key Skills

Education

Bachelor's Degree