Postdoctoral Fellow, SemAnTICA Lab

The SemAnTICA (Semantic Analysis of Text for Informing Clinical Action) Lab, housed in the Department of Biostatistics, Epidemiology, & Informatics (DBEI), is led by Danielle Mowery PhD, Assistant Professor of Informatics at the University of Pennsylvania and Chief Research Information Officer of Penn Medicine through the Institute for Biomedical Informatics (IBI). Our mission is to develop technologies, primarily natural language processing (NLP) solutions, which support clinical and translational research studies for improving patient care by learning and/or promoting actionable knowledge from electronic health records.

Job Summary
We are currently seeking a postdoctoral fellow. An ideal candidate will develop novel natural language processing and computational methods for extracting study variables and inferring actionable knowledge from clinical text-based resources including clinical notes, transcripts, free-texts, and more. These methods could address one or more use cases from a diverse set of clinical specialties e.g., cancer, pathology, neurology, genetics, psychiatry, pulmonary, palliative care, infectious disease, etc. As a member of the SemAnTICA Lab, the candidate will primarily participate in NLP research. The candidate may also collaborate with clinical data scientists from the IBI Clinical Research Informatics Core (CIC) within the Institute for Biomedical Informatics that serve the needs of clinical investigators throughout Perelman School of Medicine.

Core Duties & Responsibilities
• Collaborate with students, CIC staff, clinical domain experts, and biostatisticians
• Participate in group CIC and SemAnTICA lab meetings as well as department and institute seminars
• Write manuscripts for peer-reviewed conferences and academic journals
• Present salient findings to their academic peers via conferences and seminars
• Contribute to grant writing efforts for National Institute of Health and foundation announcements

Qualifications & Skills
We seek a self-motivated candidate with a Ph.D. in computer science, biomedical informatics, computational linguistics, or related field. This position requires proficient skills in Python or Java, machine learning, natural language processing, knowledge representations, and ontologies. Some experience using deep learning is a plus. The candidate should have 1 or more first author papers in a peer-reviewed journal. The candidate will receive professional mentorship and protected time towards the development of a K award application. This position is supported for 2 years.

Qualified applicants should send their cover letter and curriculum vitae of their work to Dr. Mowery at