NLP Postdoctoral Research Fellow
Harvard-MIT Center for Regulatory Science at Harvard Medical School
The Harvard-MIT Center for Regulatory Science, in collaboration with 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 regulatory science applications. Regulatory
science brings together a range of scientific disciplines to assess the quality, safety and efficacy of medical
products regulated by agencies like the FDA. We are seeking candidates who can develop analytical tools to
predict device safety and effectiveness using FDA pre-market and post-market databases. This is an
opportunity to participate in high-impact work that will allow the regulatory agencies to analyze a range of
medical device data to identify trends and safety signals, assess device performance across different device
types, and analyze data-related workflows to inform process improvements in the future.
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.
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, Tensorflow, Numpy, Scipy)
Strong written and oral communication skills are required.
Ability to work both independently and as a team player are required.
Cover letter/summary statement of personal objective and research interests
For candidates selected as finalists we will request 3 recommendation letters
Sample publication with clearly stated individual contributions
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