The Duke University Department of Biostatistics and Bioinformatics invites applications for multiple tenure-track faculty positions in all aspects of machine learning, data science, and biostatistics at all levels. Successful candidates will have a strong interest in motivating their theoretical and/or algorithmic research into deep learning, causal discovery, causal inference, or other areas by real needs in health, broadly-defined. Example application areas include learning from electronic health records or other observational clinical data; biomedical informatics methods for evaluating and improving equity of healthcare or impact of socioeconomic factors on health; and deep learning or probabilistic graphical model learning algorithms for analysis of data from wearable sensors or other mobile health applications or medical image processing. These examples are not meant to imply a limit on our scope of interest but to illustrate its breadth.
Applicants should hold a Ph.D. in Computer Science, Computer Engineering, Statistics, Biomedical Informatics, Bioinformatics, Biostatistics, or a related field by the date of the start of their appointment. Joint appointments with other departments are possible for appropriate candidates. Particular attractions of this position include the exceptional data and translational opportunities of Duke Health and the School of Medicine, Duke’s campus-wide emphasis on artificial intelligence for health as exemplified by the new AI Health Initiative, and the opportunity for a flexible teaching load in order to optimize research productivity and impact.
The Department of Biostatistics and Bioinformatics has Masters and PhD programs, and our algorithmic-oriented faculty also supervise PhD students in other leading programs on campus. Duke has an exceptional history in healthcare innovation, and Durham and the Research Triangle form a vibrant community with an outstanding climate intellectually, culturally, and for year-round physical activity and recreation.
Application review will begin January 1, 2021 and continue until all positions are filled. Applicants are invited to submit application materials via Academic Jobs Online at https://academicjobsonline.org/ajo/jobs/17690. Please upload a CV, research statement, and teaching statement, and request at least three references to upload letters of recommendation.
Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's race, color, age, gender, gender expression, gender identity, genetic information, disability, national origin, religion, sex, sexual orientation, or veteran status.
Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.
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