NLP Postdoctoral Research Fellow at Harvard Medical School

Machine Learning for Medical Language Laboratory, PI Timothy Miller

The Machine Learning for Medical Language Lab at Boston Children’s Hospital is seeking post-doctoral research fellows to contribute to cutting edge research in the field of natural language processing for biomedical text. We are seeking candidates who can develop novel methods to extract information and make predictions from text in electronic health records and other biomedical genres. Research areas of special interest include multimodal representation learning for clinical data, unsupervised domain adaptation of clinical machine learning models, and graph-based neural representations for clinical text. We are focused on several exciting applications including congenital heart disease, mental health, regulatory science, and infectious illness like COVID-19, all in collaboration with internationally-respected clinical researchers.

The Research Fellow will be expected to participate in international conferences and publish conference and journal papers, to propose new directions and projects, assist in preparing research proposals, and interact with graduate and undergraduate students. Fellows will receive mentorship in this exciting field that will prepare them to be a future leader whether they are pursuing a career in industry, academia, or government.

Qualifications

• Candidates with a PhD degree in Computer Science, Math, Physics, Engineering, Statistics or a related
  technical field, with interest in biomedical applications, will be an excellent fit. However, we encourage
  candidates from a variety of backgrounds to apply, if their experience and interests match the project goals.

• 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.

• Experience with machine learning libraries (Pytorch, Transformers, Tensorflow, Numpy, Scipy)

• Strong written and oral communication skills are required.

• Ability to work both independently and as a team player are required.

Application materials

• Cover letter/summary statement of personal objective and research interests

• CV

• For candidates selected as finalists we will request 3 recommendation letters

• Sample publication with clearly stated individual contributions

Terms

The position is available immediately and is a 2-year fellowship term.

How to apply
Interested candidates should email their application materials to:
Prof. Timothy Miller, PI Machine Learning for Medical Language Lab
tim.miller@gmail.com