$80K — $100K *
The Tsui Laboratory at the Children’s Hospital of Philadelphia is seeking a Data Scientist to conduct research on natural language processing (NLP) and machine learning (ML). The Children’s Hospital of Philadelphia is ranked among the top children’s hospitals in the country with world-class research environment. The Tsui Laboratory studies methods of biomedical informatics, predictive modeling, machine learning, natural language processing, signal processing, mobile Heath (mHealth), and real-time learning production decision-support systems. We translate research to practice by applying our models to domains of clinical informatics, population informatics and precision medicine through comprehensive data-driven approach using electronic health record (EHR) data, including structured (e.g., diagnosis, meds, etc.), unstructured (narrative notes), high-frequency waveform data (e.g., ECG, EEG), time-series data, genomic data, and environmental/community data. The mission at Tsui Lab is to integrate various data types and develop end-to-end real-time clinical decision support for direct impact to hospital staff, patients and public health by decreasing costs, mortality and morbidity and increasing efficiency and quality of care.
The position of Data Scientist will be responsible for developing innovative NLP methods (e.g., deep neural networks) applied to narrative clinical notes, social media, and published articles, and for conducting independent research.
The Data Scientist will report to Prof. Fuchiang (Rich) Tsui at the University of Pennsylvania Perelman School of Medicine (Penn). University of Pennsylvania Perelman School of Medicine is ranked among the top medical schools in the country. Prof. Tsui is also the Endowed Chair in Biomedical Informatics and Entrepreneurial Science, and the Director of Tsui Lab at the Children’s Hospital of Philadelphia.
Required Licenses, Certifications, Registrations
Required Education and Experience
Bachelor degree in Computer Science, Computer/Software Engineering, Information Science or related fields.
Preferred Education, Experience & Cert/Lic
Preferred Education: Master or Doctoral degrees in Computer Science, Computer/Software Engineering, Information Science or related fields.
Preferred Experience: Four (4) or more years of experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects.
Additional Technical Requirements
Valid through: 3/4/2021