The increase in data and AI activities, the connection of imaging, flow cytometry and omics core facilities (genomics, proteomics, metabolomics) within the Amsterdam UMC and the critical role of data management in research consortia and infrastructure grants require an established FAIR data expert embedded within the Amsterdam UMC imaging, flow cytometry, and omics core facilities (CFs). Specific tasks include:

• Developing policies and procedures for data and knowledge integration across the CFs.
• Coordinating the efforts of the CF data node in close relation to the compute node, the CF managers, ICT and Research support.
• Coordinating the design and implementation of a local infrastructure linked to (inter)national research infrastructures with focus on scientific reusability for data, using Data Science and AI methods to exploit FAIR data, and accelerate knowledge discovery, FAIR Data, workflows and provenance for reproducible research and explainable AI.
• Ensuring policies and implementation are in-line with the FAIR principles and the broader integration efforts in the FAIR data landscape (National/European and Global infrastructure initiatives).
• Developing training strategies to facilitate the adoption of FAIR practices amongst CF users.

• A strong track record in research publications in research data management and FAIR data.
• A proven track record in acquiring external research funding.
• Experience in creating and defining FAIR data infrastructures in the life sciences.
• Experience in leading a team; supervising students (PhD, MSc, Bsc) and other scientific staff (Post-docs, Data Stewards, Research Software engineers).
• You are ideally experienced in the data nodes of national CF infrastructure grants and consortia and embedded in (inter)national networks.
• You have knowledge of and experience with collecting, managing, and/or analyzing data.
• You have an affinity with biomedical scientific research, preferably with large and diverse research data sets.
• You have experience in working in (and leading) interdisciplinary teams.
• You have excellent social, communication, and advisory skills.
• You are result-oriented and you keep up with developments in the field of research data management.

• A contract for one year with possibility for a permanent position.
• Placement in salary scale 12: €5.459 to €6.989 gross for a full-time position (depending on education and experience).
• In addition to a good basic salary, we offer 8.3% end-of-year bonus and 8% holiday allowance. Do you want to know what you will earn? Then calculate your net salary here (subject to change).
• You will initially be appointed as an assistant professor with the aim of becoming an associate professor within 1-2 years
• Your pension is accrued with the ABP; VUmc contributes a large part of the premium (70%).
• In addition to excellent accessibility by public transport, we reimburse 75% of your OV travel costs (commuting costs) and also we offer a bicycle arrangement.
• Free and unlimited access to our online learning environment GoodHabitz.
• An active staff association and the Young Amsterdam UMC association, both of which organise fun (sports) activities and events.

Amsterdam UMC

The imaging, flow cytometry, and & omics (genomics, proteomics, metabolomics) Core Facilities of the Amsterdam UMC are working together to expand their team of data & compute experts to facilitate the storage, processing, integration and sharing of scientific research data to enable data integration for multi omics and AI based research. FAIR and AVG compliant data services and High-Performance Computing (HPC) resources are provided to allow integration of CF data, enabling pipelines and developing harmonized FAIR data policies for the Amsterdam UMC life scientists. Our services and resources serve as a solid foundation to provide well defined and connected imaging, flow cytometry and omics data sets for research and to provide access to vast amounts of data for AI-driven research.

The goals of this project include the 1) Harmonized FAIR data management of the CFs for data integration, standardization, and annotation; 2) Creation of a data sharing infrastructure and pipelines to enable controlled access to data generated by the Amsterdam UMC CFs; 3) Enable the combination of datasets from different CFs for data analysis and AI modelling; and 4) Provide an integrated data management and computing resource to all CF users to establish & secure the knowledge including scripts, software, and data analysis pipelines. Integrating data from imaging, flow cytometry, and omics core facilities will catalyze innovations with cost efficient services for researchers and enhance the visibility of Amsterdam UMC in the Dutch and European research infrastructure landscape.

More information on our CFs can be found here: https://www.amsterdamumc.org/en/research/core-facility.htm