Alpha Cell is a new SciLifeLab program aimed at building the first molecular-level computational model of the human cell. The program is led by Jan Ellenberg, Director of SciLifeLab and Mathias Ulhen, Director of the Human Protein Atlas, together with a collaborative, multi-institutional constellation of SciLifeLab researchers and infrastructure units.
The Human Protein Atlas (HPA) is a large-scale international effort to map the spatial distribution of proteins in human cells, tissues, and organs using antibody-based imaging, transcriptomics, and systems biology approaches. Since its launch, the atlas has generated one of the world's most comprehensive open resources for spatial molecular biology, comprising millions of images and extensive molecular measurements. All data are released openly and widely used by researchers worldwide.
The Alpha Cell program is recruiting a postdoctoral in Biological Data Systems to develop scalable data infrastructure and computational systems for large biological datasets. The position will be embedded within the Human Protein Atlas at KTH and SciLifeLab. The successful candidate will work closely with Avlant Nilsson cancer cell modeling lab and Wei Ouyang's AICell lab who together will develop the first foundation cell model based on HPA and other external large-scale datasets.
The role focuses on establishing the data foundations for the program's initial modelling efforts by identifying, evaluating, integrating, and structuring large biological datasets into scalable, standardized, and AI-ready frameworks for computational modelling. Working in SciLifeLab's highly interdisciplinary environment, where imaging, molecular data, and computational methods are developed in parallel, the postdoc will develop systems and services that make biological data accessible to AI and computational tools, collaborating closely with the Human Protein Atlas (HPA) team and other researchers to enhance data integration, annotation, structure, and accessibility, connect external datasets, and support open science and emerging AI-driven workflows.
Requirements
Preferred qualifications
Great emphasis will be placed on personal skills.
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Tagged as: Engineering, Physics
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