Research Associate (f/m/d) – OMERO Development and Deployment

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At the Center for Advanced Imaging in the faculty of Mathematics and Natural Sciences of Heinrich Heine University Düsseldorf a post as a Research Associate (f/m/d) is to be occupied at the earliest possible date.

Research Associate (f/m/d) – OMERO Development and Deployment

Main tasks:

User-driven development of OMERO plugins

Extending the functionality of OMERO.figure and developing further plugins for the OMERO ecosystem

Designing and implementing improved organization and documentation of Regions of Interest (ROIs)

Establishing low-threshold channels for user feedback, including triaging bug reports and feature requests and forwarding them to developers Deployment and benchmarking of OMERO installations

Supporting partner institutions in installing OMERO and integrating it into their local infrastructure

Coordinating with local IT departments on security, access control, and data sharing

Automating server deployments for production and training use with Ansible and Docker

Developing a benchmarking framework: defining key performance indicators (e.g., upload rates, query response times, retrieval performance across formats and image sizes) and building an automated benchmarking toolkit

Analyzing benchmark results, deriving configuration recommendations, and sharing results across sites Scalable imaging workflows and new image formats

Integrating NGFF (OME-Zarr) into institutional microscopy platforms, including NGFF-based tools such as bioformats2raw and raw2ometiff

Technical deployment of spatial-omics support in OMERO at the pilot sites in coordination with I3D:bio partners with iterative refinement based on feedback

Developing reusable components for Nextflow and Galaxy for staging data from OMERO, writing results back (e.g., segmentation masks), and annotating metadataTraining, documentation, and community work

Further developing training materials and documentation for administrators and data stewards

Contributing to workshops and training courses

Expanding the network of OMERO users and administrators within the GerBI-GMB community

Your Profile:

Completed university degree (Masters or equivalent) in computer science, bioinformatics, a natural or life science with a strong IT focus, or a comparable field

Doctorate in a relevant field

Very good programming skills in Python and experience in web development (JavaScript, HTML/CSS)

Experience with collaborative software development (Git, GitHub, continuous integration)

Knowledge of Linux server administration and of working with Docker

Basic understanding of biological image data and its metadata

Ability to work independently on conceptual tasks and to coordinate with partner institutions, IT departments, and users without a technical background

Very good written and spoken English, German language skills Willingness to travel to partner sites and workshops

Desirable:

Experience with OMERO (administration, use, or plugin development) and the OME data model

Knowledge of Ansible or comparable deployment automation tools

Experience with microscopy image formats, in particular OME-TIFF and NGFF (OME-Zarr), and with Bio-Formats

Experience with workflow systems (Nextflow, Galaxy) and compute clusters

Knowledge of image analysis and AI-assisted segmentation (e.g., napari, Cellpose)

Familiarity with research data management and the FAIR principles

Experience in delivering training and writing documentation

Our Offer:

An interdisciplinary working environment at the interface of microscopy, life sciences, software development, and research data management

Close collaboration with the I3D:bio partner sites in Tübingen und Heidelberg, as well as with the GerBI-GMB community

The opportunity to contribute to OMERO, an open-source platform used by research institutions worldwide, and to engage with the international OME developer community

Work with direct, visible impact: your developments will be used by researchers at partner institutions and showcased on a persistent demonstrator instance

A high degree of independence and room to shape technical and conceptual solutions

Opportunities for professional development, including participation in conferences, workshops, and hackathons

The employment is initially limited for a period of 36 months. In accordance with § 2 Abs. 2 of the Act of Academic Fixed-Term Contract (Wissenschaftszeitvertragsgesetz - WissZeitVG), the position is limited to the exercise of a third-party funded project called Information Infrastructure for BioImage Data (I3D:bio), 2nd funding phase.Our BenefitsCompany pension grant; Good transport connection; Free parking; Flexitime; Working from home; Union rates; Part-time possible; Payment of capitalforming benefitsAbout us:The Center for Advanced Imaging (CAi) at Heinrich Heine University Düsseldorf is a central microscopy core facility open to researchers from within and outside the university. It offers state-of-the-art light and electron microscopy, with a particular focus on super-resolution microscopy in living cells, correlative imaging methods and fluorescence imaging spectroscopy, together with image analysis and image data management support. The CAi team operates OMERO as the image data management platform for its users and is actively involved in the further development of OMERO, with close ties to the core open source community and OME. The I3D:bio project (Information Infrastructure for BioImage Data) aims to build a communitydriven research data management infrastructure for bioimaging in Germany. In the second funding phase of the project we will closely collaborate with the University of Tübingen, the German Cancer Research Center (DKFZ) Heidelberg, and German BioImaging e.V. (GerBI-GMB).

Heinrich Heine University upholds the principle of 'Excellence through Diversity'. It has signed the 'Diversity Charter' and successfully participated in the Stifterverbands audit 'Shaping Diversity'. It is certified as a family-friendly university and has set itself the goal of promoting diversity among its staff. Applications from people of all genders are expressly welcome. Applications from women will be given preferential consideration in accordance with the State Equal Opportunities Act. The application of severely disabled persons and persons with equivalent disabilities is also welcome. In order for a severe disability or equality to be taken into account, please provide evidence of this with suitable documents.