The Health Natural Language Processing Lab at Boston Children’s Hospital is seeking a post-doctoral fellow to contribute
to cutting edge research in the field of health natural language processing such as temporal relation extraction. Topics of
study include lightly supervised or unsupervised methods, learning from vast amounts of unlabeled data, combining
knowledge from multiple sources in a joint probabilistic framework. The research fellow will participate in designing
innovative methods related to the processing of the clinical narrative. The diversity of subject matter will require a
creative mind and a candidate capable of deploying imaginative strategies and who is dedicated to solving complex and
challenging problems within an interdisciplinary environment.
These studies provide an excellent opportunity for the Research Fellow to work within a multidisciplinary research team to
explore advanced areas in health information technology. The Research Fellow will be encouraged to prepare and submit a
career development award proposal, as well as other research proposals as appropriate, and to lead publications.
The fellowship includes an
Boston Children’s Hospital/Harvard Medical School
PhD degree in computer science, information science, computational linguistics, biomedical informatics, data mining,
or a closely related field.
Experience in research; ability to plan and carry out research experiments and projects.
Candidates with experience in the areas of medical terminologies/ontologies, natural language processing/
computational linguistics, and machine learning are strongly encouraged to apply.
Programming experience in computer programming languages (e.g., Python, Java, C#, etc).
Strong background in machine learning and statistical informatics methods.
Strong written and oral communication skills required.
Highly motivated, ability to identify potential problems and develop solutions.
Works independently and participates productively as a team player.