Ted is always interested in talking to PhD candidates who are members of the UPenn Neuroscience Graduate Group (NGG). Contact Ted (sattert at upenn dot edu) to learn more or set up a lab rotation. If you are a prospective student, please do not reach out to Ted until you are accepted to NGG. Note that all neuroscience graduate students must complete a rotation in the lab prior to joining for a thesis project.

Ai2D is the Center For AI And Data Science For Integrated Diagnostics; it is part of the Department of Radiology at The Perelman School of Medicine at the University of Pennsylvania (https://ai2d.med.upenn.edu/). A major goal of AI2D is to accelerate discovery using biomedical imaging to advance personalized medicine. To do this, we leverage advanced imaging techniques, including multi-modal MRI. Neuroinformatics Data Manager will provide support for managing, processing, and sharing data across a large group of top-tier investigators at Penn. AI2D is led by Christos Davatzikos (https://www.med.upenn.edu/cbica/christos/); the Neuroinforamtics Data Manager role will be managed in part by Ted Satterthwaite and the team at the Penn Lifespan Informatics and Neuroimaging Center (PennLINC www.pennlinc.io); PennLINC is one of many participating labs that AI2D encompasses.

The Neuroinformatics Data Manager will lead large-scale neuroinformatics initiatives for the management and analysis of high-dimensional biomedical imaging data, with a specific focus on brain imaging. As part of these efforts, we aggregate, curate, perform quality assurance, analyze, and share many of the largest neuroimaging datasets that exist. These efforts serve the many labs that participate in Ai2D and the broader research community. Applications include efforts focused on neurooncology neuropsychiatry, neurology, brain development, and aging. The Neuroinformatics Data Manager will work in team environment with a diverse, multi-disciplinary group of faculty and trainees from radiology, psychiatry, psychology, engineering, statistics, and computer science. Primary responsibilities curation and management of large-scale imaging databases, data management, data sharing, and image processing.

To succeed in the highly collaborative environment, excellent interpersonal and communication skills are required. Superb technical skills including familiarity with Python, Linux/Bash, R, and Git/Github are a prerequisite. Experience with neuroimaging tools (AFNI, FSL, ANTs, FreeSurfer) is welcome. Experience with DataLad is a particular strength. This position is open to either as a post-doctoral fellowship or as a staff role. Skills developed in this role are highly transferrable will accelerate professional growth in either academia (e.g., transition to a senior scientist role) or the technology industry.

Background check required. Position contingent on funding

Ted is a member of the bioengineering (BE) graduate group in the Penn School of Engineering and Applied Sciences. PhD candidates in the BE group can rotate with Ted. Furthermore, the Penn BE group does allow for "direct admit" applications. Through this mechanism, students can apply directly to work with Ted for their BE PhD thesis. Both current PhD candidates and prospective students should reach out to Ted directly (sattertt at upenn dot edu) to learn more