Team Lead Position for Data Curation at Helmholtz Imaging

Responsibilities

• Managing and mentoring a multidisciplinary team of machine learning and image analysis experts
• Coordinating Data Curation Unit (DCU) activities across partner sites and aligning them with HI strategy
• Co-developing and implementing a holistic data curation framework together with DCU members at partner sites (MDC, DESY, UFZ)
• Overseeing and supporting the team with tasks such as:
• Development of structured workflows for image data formation, quality assessment, and annotation management
• Sytematic investigation and formalization of repetitive and undocumented data curation practices
• Development and recommendation of tools for data annotation, metadata structuring, and quality control
• Supporting researchers in adapting heterogeneous datasets into a unified internal curation framework
• Designing feedback mechanisms between data curation and downstream image analysis (including AI-based pipelines)
• Providing training formats, guidelines, and consultation for researchers across experience levels and data scales
• Promoting open science, software sustainability, and knowledge sharing

Requirements

The successful candidate will have a PhD in computer science, physics, mathematics, or a related discipline.

Strong expertise in image analysis and/or machine learning, with a deep understanding of how data characteristics impact downstream AI performance.

Demonstrated experience in handling and curating complex imaging datasets.

Proven leadership experience, including mentoring and coordination of interdisciplinary teams.

Excellent record in open-source software development and experience in collaborative software development practices (e.g. version control, code review, continuous integration).

Proven track record of interdisciplinary and (inter)national collaboration as well as strong willingness to collaborate across the Helmholtz Association and with other HI groups at DKFZ.

Exceptionally collaborative and open-science work ethos.

Prior experience in annotation management, large-scale or heterogeneous imaging data and interest in standardization and research infrastructure development are highly desirable.

Qualifications

A highly motivated professional with a strong technical background and leadership experience.

Skills

Strong technical background and leadership experience.

Benefits

Close integration with leading imaging and machine learning initiatives through HIAccess to cutting-edge infrastructure and computing resources

Pay

TBD

Schedule

TBD