• Data gathering, validation and analysis. • Assist with the creation of MOPs (Method of Procedures), SOPs (Standard Operating Procedures) and EOPs (Emergency Operating Procedures). • Replicate MOPs, SOPs, EOPs across the platform where similar equipment exists. • Work with existing Facility Engineers to update equipment records. • Collaborate with Compliance team members who will provide direction, feedback, and mentorship throughout the internship.

• Design, develop, and maintain scalable backend services using Node.js. • Build and manage microservices following clean architecture principles. • Implement event-driven and asynchronous processing solutions in AWS. • Define infrastructure as code using CloudFormation. • Ensure high-quality code through testing and best development practices. • Collaborate closely with cross-functional teams, contributing to product and business discussions.

• Lead the development of scalable, robust analytical models using DBT. • Ensure the implementation of modeling standards (dimensional and/or relational) and analytics engineering best practices. • Create, test and document transformations, ensuring data quality, reliability, traceability and governance. • Develop and maintain complex data pipelines using Airflow (or equivalent orchestration tools), applying versioning, modularity, observability and DataOps best practices. • Integrate different data sources (structured and unstructured), ensuring efficient, resilient and monitorable processes. • Optimize queries, structures and costs in cloud Data Warehouses (such as BigQuery, Redshift, Snowflake or similar), applying advanced performance tuning techniques. • Ensure governance, security, access control (IAM), partitioning, clustering and dataset versioning. • Collaborate with Data Analysts and Data Scientists to enable the consumption of reliable, well-documented and semantically organized datasets. • Evangelize technical standards, transformation best practices and governance across the organization. • Create and support dashboards and analytical products using BI tools (Looker, Power BI, Tableau or similar). • Work with Engineering, Product, Business and Data Governance teams to ensure data integration, consistency and quality. • Participate in defining and evolving modern cloud data architecture (GCP or AWS), proposing continuous improvements.

• Provide on-site support during implantation and follow-up procedures involving Class III medical devices. • Troubleshoot technical issues during procedures and provide immediate, clinically sound recommendations. • Act as the subject matter expert (SME) on device function and clinical applications. • Educate physicians, nurses, and allied health professionals on device functionality, therapy benefits, and procedural workflows. • Conduct in-service trainings, workshops, and ongoing clinical education for new and existing users. • Support collection of clinical data and user feedback to support regulatory submissions, product development, and continuous improvement efforts. • Document field interactions in compliance with quality and regulatory standards. • Work closely with R&D, Regulatory, Safety, and Commercial teams to relay device deficiencies, clinical insights and support product refinements. • Assist with investigational device trials, product evaluations, and site initiation visits (as applicable).