The Arnaout lab at UCSF studies methods in computational imaging and machine learning, with the goal of decreasing diagnostic error in medical imaging and developing scalable image-based phenotypes for precision medicine research. We are looking for a data engineer to who is excited about helping us scale data mining, annotation, transfer, and computation on terabytes of multimodal imaging data and associated clinical metadata in an academic medical setting. The candidate will learn how to access and connect data from several institutional databases and will interact with engineers and physicians. They will have experience with local, hybrid, and cloud computing/HPC; data containerization strategies (e.g. Docker, Kubernetes), as well as basic databases (e.g., SQL/noSQL strategies, graphs). They will create web-apps, visualizations, executables to share our research and our code. Research projects will include how to scale datamining in the clinical setting; how to crowdsource and gain consensus on clinical labeling; how to maintain and disseminate sustainable code in clinical settings. They will have a Masters, PhD or equivalent degree and/or experience in computer science, applied mathematics, bioengineering, or related field and will have excellent organization, multi-tasking, teamwork, and communication skills. Please email with your CV and a clear but brief letter of interest.
Tagged as: Computer Science, Engineering
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