• Review and evaluate clinical data generated from the imaging portion of sponsor clinical trials across various therapeutic areas. • Perform all data management deliverables for assigned studies, ensuring timelines and quality standards are met. • Support study setup activities, including eCRF/TF design, database structure, and specifications, obtaining and providing necessary approvals. • Understand study implementation and data collection requirements and translate these into robust data management plans. • Collaborate with project teams to develop and maintain study-specific edit check criteria. • Define, run, and review edit checks, identify discrepant data, and drive timely data query resolution. • Coordinate, document, and oversee the receipt and processing of electronic or ancillary data from external sources (e.g., central labs, CROs, sponsors). • Maintain organized, complete, and up-to-date study documentation in accordance with internal and regulatory standards. • Track outstanding data issues, follow up with stakeholders, and ensure discrepancies are resolved and documented. • Ensure accuracy and consistency in the manipulation, review, and validation of clinical data, adhering to relevant regulatory guidelines. • Adhere to Clinical Data Management procedures, policies, and SOPs, and contribute to the review and improvement of departmental standards and processes. • Collaborate with internal teams to resolve operational issues, share knowledge, and support others in achieving project goals. • Participate in company-sponsored training to maintain and enhance technical and industry knowledge.

• Support Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Teams • Conduct data-driven analysis to provide insights from DoD Test & Evaluation data • Enable data-driven decision analysis products using data science and machine learning • Collaborate with stakeholders to identify analytic requirements and questions • Provide technical support and analytics consulting • Conduct applied methods projects and support analysis-ready data creation • Conduct impromptu training sessions with end users.

• Analyze massive customer data sets, come up with actionable insights, and explain how our models perform and how we can help our customers build optimal risk management policies • Act as a Data Science advocate: deeply understand Socure’s solutions (products, models and algorithms) and customers’ risk challenges to educate and influence from a scientific perspective • Create convincing data stories to showcase how we can help our customers eliminate identity fraud, streamline their end-user experience, and support their risk management efforts holistically • Provide thought leadership and be the customer’s voice for building the next generation of Socure’s core models and product • Create tools and automated workflows to improve the speed, accuracy, and reproducibility of our analysis • Partner closely with GTM teams (Sales, Solution Consultants, Account Managers and Technical Account Managers) to derive creative ways of analysis and identify opportunities for upsell and product optimization • Build ML models when it is advantageous to explore different approaches over the established models in production

• Perform scientific clinical data review in collaboration with SRP and SRS • Establish and confirm data review expectations for assigned trials • Manage data flows and Data Management Plans