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Design, build, and maintain scalable ETL/ELT data pipelines and data platform architecture. Build programmatic pipelines (primarily Python), optimize analytical data models (SQL), integrate sources into Snowflake, use orchestration/transformation tools (dbt, Airflow, Dagster), improve data quality/observability, and partner with product, engineering, and analytics to deliver reliable data for decision-making.

The Product Manager will enhance clinician engagement with MDCalc by managing product projects and improving user experience through data-driven insights, collaboration, and experimentation.

As a Lead Data Scientist, you will shape data strategy, develop predictive models, analyze healthcare datasets, and collaborate with teams to enhance MDCalc's clinical decision tools.

The Client Success Manager will oversee end-to-end campaign execution, manage client communications, and foster cross-functional collaboration in a fast-paced environment.

As a QA Engineer, you will ensure the quality of AI features, design test strategies, maintain automated pipelines, and collaborate on quality metrics.