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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.

As a Product Designer at MDCalc, you will design user experiences for clinicians, contribute to design systems, collaborate with cross-functional teams, and participate in user research to enhance product functionality and usability.

Analyze product and user engagement data to generate insights, build dashboards and reports, design and evaluate A/B tests, define success metrics with product and engineering, ensure data accuracy, and communicate findings to cross-functional stakeholders to guide product and business strategy.

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 Senior Product Manager will drive product roadmaps for ad serving and campaign management, translating business needs into engineering solutions while collaborating across various teams and automating workflows for scalability.

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.

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