Communicate with business stakeholders to understand goals and translate them into robust ML/AI models to improve clinical outcomes for children.
Work with Data Science and other cross functional teams to define requirements, optimize data collection, build data assets, and deliver insights on business strategy and patient care
Develop ML models incorporating clinical, claims, and social determinants of health (SDoH) data to drive actionable recommendations
Define and maintain logging, monitoring, and alerting for models such as evaluation metrics, hyperparameters, and drift
Independently query Snowflake and prepare data for exploratory data analysis and modeling
Create clean, maintainable code and own the model development lifecycle

Requirements

3+ years of experience, including proficiency in Python and SQL
Strong background in study design, causal inference, hypothesis testing, statistics, and research methods
Ability to work with and present findings to non-technical staff across the organization
Experience working in a start-up or growth environment
Pluses but not required:
Healthcare experience
Experience building with LLMs and knowledge of best practices for AI integrations
Engineering skills with experience in AWS, Tableau, dbt, Dagster, and distributed computing frameworks

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLML modelsdata analysisstatisticscausal inferencehypothesis testingdata collectionmodel development lifecycleexploratory data analysis

Soft Skills

communicationcollaborationpresentationproblem-solvingindependence