The Senior Project Manager will lead the planning, execution, and delivery of medium to high complexity medical imaging studies while managing cross-functional teams and external stakeholders. They are responsible for ensuring projects meet scope, budget, and timeline requirements while mentoring junior project managers.
The Project Finance Analyst supports project managers with revenue forecasting, variance analysis, and financial reporting to ensure project profitability. They are also responsible for maintaining financial controls, managing the order-to-cash process, and ensuring compliance with commercial terms.
The Clinical Data Manager is responsible for the end-to-end delivery of clinical trials, including database setup and data reconciliation. They collaborate with project teams to ensure data accuracy, resolve discrepancies, and maintain compliance with regulatory guidelines.
The coordinator is responsible for managing clinical imaging data, including data entry, reconciliation, and transfer between research centers. They ensure data integrity and adherence to study timelines while troubleshooting transfer issues and maintaining image files.
The Compensation Lead is responsible for the tactical delivery and governance of compensation programs, including annual pay reviews, variable pay, and benchmarking. They will manage job architecture, salary structures, and compensation analytics to ensure consistent and equitable pay practices across the organization.
The Manager, Business Analysis facilitates value generation by gathering requirements from stakeholders and driving efficiency across products and services. They also manage a team of business analysts, providing mentorship, setting performance targets, and fostering professional development.
Design and implement production-grade agentic AI workflows to automate medical imaging clinical trials and data quality. Provide technical leadership and mentorship to engineers while collaborating with cross-functional teams to align AI capabilities with business objectives.
Design and operationalize agentic AI capabilities to automate medical imaging clinical trial workflows and data quality checks. Transform the company's Product Development Life Cycle into an AI-driven process from discovery to production operations.
Drive revenue growth by developing territory strategies and winning new business within the life sciences sector. Manage the full sales cycle from lead generation and proposal strategy to closing deals and expanding existing client accounts.
Provide scientific and management leadership for imaging-driven clinical trials, specifically focusing on Radiopharmaceutical Therapy and advanced imaging modalities. Accountable for the end-to-end delivery of high-quality image analysis data and the management of a global team of scientists and analysts.
Define and govern the end-to-end architecture for medical imaging solutions to support global clinical trials. Translate product strategy into technical direction while ensuring scalability, security, and regulatory compliance across the product landscape.
Conceptualize and guide the creation of cloud-native, AI-driven platforms for medical imaging within clinical research. Act as a bridge between architectural vision and engineering to ensure scalability, security, and regulatory compliance.
