Computational Health Informatics Program | Training

There is a common core of knowledge, skills, and experiences to engage meaningfully in the field of informatics. CHIP offers training at many levels and is well integrated with the vibrant academic community at the Harvard Department for Biomedical Informatics and affiliated hospital-based training programs, providing fellows with many opportunities for interaction and collaboration.

Harvard Biomedical Informatics MMSc

The Biomedical Informatics Masters Degree at Harvard Medical School is a two-year post-doctoral degree program, consisting of didactic course work, a seminar series, and a mentored research project. Each student chooses from one of four possible tracks: Bioinformatics, Clinical Informatics, Imaging Informatics, and Population Health Informatics. A written thesis and an oral presentation and defense of the thesis is required. A wide variety of course offerings at Harvard and MIT along with seminars, journal clubs, grant-writing workshops, and other forums for exchange of information provide all trainees with opportunities to learn about the variety of research being conducted at the various laboratories and in the affiliated institutions, as well as in the larger field of biomedical informatics.

Postdoctoral biomedical informatics fellowships

For United States citizens and permanent residents, fellowships provide stipend, tuition, and travel funds, and are typically for two to three year periods:

  • CHIP slots in the Harvard Informatics Training Program, funded by a National Institutes of Health, National Library of Medicine T15, include the Harvard MMSc plus protected time for a closely mentored research project by a CHIP faculty member. The training is designed to aggressively drive toward expertise in informatics, publication and grant funding.
  • The NIH NICHD T32 Training Program, focused on advancing care and therapies or elucidation of epidemiology and mechanisms in acute conditions affecting children and teenagers, offers opportunity for research training and funding for graduate level coursework in informatics in the Harvard biomedical masters degree or the Harvard School of Public Health summer and Masters Degree in Clinical Effectiveness.
  • Biomedical Informatics postdoctoral slots attached to CHIP Principal Investigator labs and grants.

NLP Postdoctoral Research Fellow Position at Boston Children’s Hospital/Harvard Medical School

The Health Natural Language Processing Lab at Boston Children’s Hospital is seeking a post-doctoral research fellow to contribute to cutting edge research in the field of health natural language processing. This project will develop deep neural network methods for representing and summarizing the text in electronic health records, with high impact clinical applications.

The diversity of subject matter will require a creative candidate with the passion and diligence to solve challenging problems in an interdisciplinary environment. The Research Fellow will be expected to lead publications, and will receive enthusiastic mentorship with the goal of preparing and submitting a career development award proposal, as well as other research proposals as appropriate.

This position provides an excellent opportunity for the Research Fellow to work within a multidisciplinary research team to explore advanced areas in health information technology. The Computational Health Informatics Program – CHIP – is home to 20 faculty working at the forefront of research areas extending beyond clinical NLP to digital epidemiology, clinical genomics, and app ecosystems for health records. CHIP and the Health NLP Lab value diversity and believe that it is essential to achieving excellence. We therefore strongly encourage candidates from underrepresented groups to apply. The fellowship includes an academic appointment at Harvard Medical School, as well as a hospital appointment at BostonChildren’s Hospital.


  • 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 machine learning, natural language processing/computational linguistics, and medical terminologies/ontologies are strongly encouraged to apply.
  • Programming experience in computer programming languages (e.g., Python, Java, etc).
  • Strong written and oral communication skills required.
  • Ability to work both independently and as a team player. 

Application materials

Cover letter/summary statement of personal objective and research interests


  • Three letters of reference (will be requested of finalists)
  • Sample publication with clearly stated individual contributions 


The position is available immediately and is renewable annually.

How to apply

Interested candidates should email their application materials to:
Prof. Timothy Miller, PI Natural Language Processing Lab