Hybrid Data Lead

at ScreenPoint Medical

• Job title: Data Lead
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Location requirements: Hybrid, Nijmegen, Netherlands

About the role

• Data Lead driving data strategy and innovation in medical imaging at ScreenPoint. Leading data team and collaborating with stakeholders to ensure data quality and compliance.

Responsibilities

• Proactively define & lead the Data strategy to serve ScreenPoint business needs.
• Own the end to end data process from the acquisition, governance, and utilization of large-scale medical imaging and clinical datasets from global partners to drive innovation, product excellence, and clinical showcase.
• Ensure data quality, compliance, and scalability (standardization and traceability processes) aligned with regulatory requirements.
• Establish data infrastructure and tools for efficient annotation, versioning, and data lifecycle management.
• Develop, support and maintain partnerships with hospitals, research institutions, and industry collaborators for data acquisition.
• Drive agreement execution.
• Responsible for coordination and alignment of Data activities with other teams and departments within ScreenPoint including management.
• Responsible for managing and mentoring the Data team.
• Ensuring that Data activities within ScreenPoint are done effectively and in a scalable way to match the company needs for multi-modal, outcomes-centered datasets with high standards of quality.
• Report data-driven insights and progress to the management team and contribute to strategic decisions.

Requirements

• Master’s or PhD’s degree in Computer Science, Mathematics, Physics, or related field.
• Minimum of 5 years of experience in medical imaging projects involving data science, clinical science, or machine learning, preferably with multi-source clinical and imaging data including mammography, tomosynthesis, or MRI.
• Knowledge about medical clinical data, how it fits within hospital environments (PACS/RIS), the AI algorithm development process, and clinical research studies.
• Strong understanding of annotation workflows, data curation for algorithm training and validation, and clinical study design.
• Strong, proactive leadership with excellent communication.
• High level of ownership and strong stakeholder management skills to manage different functions (from sales to product) effectively.

Benefits

• Providing a Certificate of Conduct (VOG) or background check is part of our application procedure.