Master’s degree with 0+ years of experience; or Bachelor’s degree with 3+ years of experience
Preferred:
Master’s or Bachelor’s degree with 3+ years of experience
Familiarity with a health care environment and EHR data
Expertise with or more data science domains (time series, deep learning, LLM architectures, Natural Language Processing (NLP), causal inference, etc.)
Familiarity with cloud services like Microsoft Azure and version control systems (Git)
Experience with Generative AI and Large Language Models (LLMs), RAG, fine-tuning, embeddings, prompt engineering, and agentic workflows
Experience with data science/AI product lifecycle and understanding model training, testing, deploying, and monitoring.
Awareness of the most recent trends and developments in Artificial Intelligence
Proficient developing machine learning models for classification, regression and clustering
Experience with relational databases and SQL queries.
Proficient in Python and its machine learning libraries like pandas, scikit-learn, PyTorch, etc.
Experience designing AI solutions, applying python LLM frameworks like LangChain and LangGraph, and designing tools, skills, and/or subagents for AI frameworks
Knowledge of probability, statistics, and scientific computing
Ability to work independently and use creative approaches to problem- solving
Capable of turning questions into testable hypotheses, extracting data from complex databases, creating and evaluating statistical models
Experience in data visualization and ability to communicate results to a non-technical audience
Experience completing independent research and development with limited supervision
Experience being part or large, cross-functional teams with many internal and external teams involved
Experience with Agile project management frameworks and Jira is a plus
Programming Languages: Python, SQL
ML frameworks: sklearn, tensorflow, pytorch, etc.
LLM & Generative AI Frameworks: LangChain, LangGraph, etc.
