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. 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 Boston Children’s Hospital.

Admissions

The position is available immediately and is renewable annually.

Qualifications
  • 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. 
How to apply

Interested candidates should email a CV, three letters of reference, and a sample publication to
Prof. Timothy Miller, PI Natural Language Processing Lab tim.miller@gmail.com

Publications

Geisler BP, Zahabi L, Lang AE, Eastwood N, Tennant E, Lukic L, Sharon E, Chuang HH, Kang CB, Clayton-Johnson K, Aljaberi A, Yu H, Bui C, Le Mau T, Li WC, Teodorescu D, Hinske LC, Sun DL, Manian FA, Dunn AG. Repurposing existing medications for coronavirus disease 2019: protocol for a rapid and living systematic review. Systematic reviews 2021.

Börcsök J, Diossy M, Sztupinski Z, Prosz A, Tisza V, Spisak S, Rusz O, Stormoen DR, Pappot H, Csabai I, Brunak S, Mouw KW, Szallasi Z. Detection of Molecular Signatures of Homologous Recombination Deficiency in Bladder Cancer. Clinical cancer research : an official journal of the American Association for Cancer Research 2021.

Geva A, Albert BD, Hamilton S, Manning MJ, Barrett MK, Mirchandani D, Harty M, Morgan EC, Kleinman ME, Mehta NM. eSIMPLER: A Dynamic, Electronic Health Record-Integrated Checklist for Clinical Decision Support During PICU Daily Rounds. Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies 2021.

Li J, Tiwari A, Mirzakhani H, Wang AL, Kho AT, McGeachie MJ, Litonjua AA, Weiss ST, Tantisira KG. Circulating MicroRNA: Incident Asthma Prediction and Vitamin D Effect Modification. Journal of personalized medicine 2021.

Larsen RJ, Gagoski B, Morton SU, Ou Y, Vyas R, Litt J, Grant PE, Sutton BP. Quantification of magnetic resonance spectroscopy data using a combined reference: Application in typically developing infants. NMR in biomedicine 2021.