Job Description:
The Institute for Computational Health Sciences (ICHS) at UCSF is looking to recruit a computational text analysis faculty member at the Assistant Professor level. ICHS is seeking faculty candidates with a strong background in natural language processing (NLP) who have an interest in clinical informatics, machine learning, and/or network/mathematical modeling as applied to health research. Candidates are required to hold a doctorate in informatics, computer science, epidemiology, biostatistics, or a related discipline with demonstrated experience/expertise in advanced analysis of text-based information and NLP, and/or a medical, dental, nursing or pharmacy degree with demonstrated experience/training in NLP as well as having demonstrated significant achievement or promise in their field. A primary affiliation with ICHS will be provided, along with an academic appointment within a department closely allied with the applicant’s scholarly or clinical expertise. The appointee will be expected to build collaborations with faculty across campus in efforts to advance the field of text analysis/NLP at the University, to develop and deliver text analysis/NLP curricula to a wide campus audience including students, staff, and trainees, and to mentor graduate and medical students while developing extramurally-sponsored research programs. Qualifications: Candidates are required to hold a doctorate in informatics, computer science, epidemiology, biostatistics, or a related discipline with demonstrated experience/expertise in advanced analysis of text-based information and NLP, and/or a medical, dental, nursing or pharmacy degree with demonstrated experience/training in NLP as well as having demonstrated significant achievement or promise in their field.
Additional Info:
Start date: As soon as possible How to Apply: Apply via: https://aprecruit.ucsf.edu/apply/JPF01720 Contact: Angela Rizk-Jackson angela.rizk-jackson@ucsf.edu[Click Here to Access the Original Job Post]
The Institute for Computational Health Sciences (ICHS) at UCSF is looking to recruit a computational text analysis faculty member at the Assistant Professor level. ICHS is seeking faculty candidates with a strong background in natural language processing (NLP) who have an interest in clinical informatics, machine learning, and/or network/mathematical modeling as applied to health research. Candidates are required to hold a doctorate in informatics, computer science, epidemiology, biostatistics, or a related discipline with demonstrated experience/expertise in advanced analysis of text-based information and NLP, and/or a medical, dental, nursing or pharmacy degree with demonstrated experience/training in NLP as well as having demonstrated significant achievement or promise in their field. A primary affiliation with ICHS will be provided, along with an academic appointment within a department closely allied with the applicant’s scholarly or clinical expertise. The appointee will be expected to build collaborations with faculty across campus in efforts to advance the field of text analysis/NLP at the University, to develop and deliver text analysis/NLP curricula to a wide campus audience including students, staff, and trainees, and to mentor graduate and medical students while developing extramurally-sponsored research programs. Qualifications: Candidates are required to hold a doctorate in informatics, computer science, epidemiology, biostatistics, or a related discipline with demonstrated experience/expertise in advanced analysis of text-based information and NLP, and/or a medical, dental, nursing or pharmacy degree with demonstrated experience/training in NLP as well as having demonstrated significant achievement or promise in their field.
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Additional Info:
Start date: As soon as possible How to Apply: Apply via: https://aprecruit.ucsf.edu/apply/JPF01720 Contact: Angela Rizk-Jackson angela.rizk-jackson@ucsf.edu[Click Here to Access the Original Job Post]