Ensures that required essential documents are complete and in place, according to ICH-GCP and applicable regulations. Conducts on-site file reviews as per project specifications.
Provides trial status tracking and progress update reports to the team as required. Ensures study systems are complete, accurate and updated per agreed study conventions (e.g. Clinical Trial Management System).
Facilitates effective communication between investigative sites, the client company and internal project teams through written, oral and/or electronic contacts. Responds to company, client and applicable regulatory requirements/audits/inspections.
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Serve as primary contact for investigators and with the local regulatory authorities (in collaboration with the local regulatory manager for complex issues) to ensure submissions are managed in a timely manner.
Ensure guidelines and processes are followed for effective internal team communications as well as communications with investigators, and with the country regulatory authorities to ensure submissions are managed in a timely manner.
Act as a key-contact at country level for all submission-related activities.
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Drive cross-functional execution across engineering, design, data, and business stakeholders, and ensuring product delivery with strong stakeholder management.
Collaborate with AI teams search/recommendation algorithms and LLM teams to translate model capabilities into user value.
Define success metrics, run experiments, and iterate based on data — apply a rigorous, data-driven methodology to all product decisions; support business units with exposure and growth initiatives across the App.
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Drive cross-functional execution across engineering, design, data, and business stakeholders, and ensuring product delivery with strong stakeholder management.
Collaborate with AI teams search/recommendation algorithms and LLM teams to translate model capabilities into user value.
Define success metrics, run experiments, and iterate based on data — apply a rigorous, data-driven methodology to all product decisions; support business units with exposure and growth initiatives across the App.
...
Drive cross-functional execution across engineering, design, data, and business stakeholders, and ensuring product delivery with strong stakeholder management.
Collaborate with AI teams search/recommendation algorithms and LLM teams to translate model capabilities into user value.
Define success metrics, run experiments, and iterate based on data — apply a rigorous, data-driven methodology to all product decisions; support business units with exposure and growth initiatives across the App.
...