Senior Clinical Data Manager

The Company

EMA Wellness is a market leader providing clinical data capture, analytics and adjudication solutions to pharma companies and CRO's undertaking clinical trials. EMAW was founded in 2018 and has experienced exponential growth since 2024.

The Opportunity

This is an exceptional opportunity to join a healthcare technology company fast emerging as the market leader in CNS clinical trials. Reporting to the EVP of Operations (EVP Ops) the Clinical Data Manager (CDM) will also work directly with the DPO, head of product, CTO and CEO to evolve and in some cases drive data strategy and implementation.

The CDM will be responsible for the overall data management of clinical trials, ensuring the accuracy, completeness, and compliance of clinical trial data with study protocols, company standard operating procedures (SOPs), and regulatory guidelines.

This role involves defining data specifications, managing and implementing all data transfers to CROs and Sponsors, and managing quality control of data collection in worldwide clinical research programs. This is an opportunity for growth to lead a data management team at a growing company in the clinical research field. It will be a critical that the CDM design and drive data transfer quality at the highest levels.

Duties and Responsibilities

The CDM will be responsible for undertaking the following scope :

• Provide ownership of the data management lifecycle, from data collection to database lock.
• Develop and implement data validation checks (edit checks) and procedures
• Collaborate in study start up activities, including the Data Management Plan and Data Transfer Specifications.
• Serve as the primary data management contact for internal and external stakeholders
• Ensure compliance with study protocols, ICH-GCP, regulatory requirements, and CDISC / SDTM standards.
• Maintain thorough documentation of all data management processes and decisions, ensuring audit readiness
• Implement quality control procedures throughout the data management process
• Provide clean, scalable data sets for advanced clinical analytics
• Drive and implement AI tools to create more scalable data transfers and higher data quality

Success metrics will include :

Requirements and Expectations :