The Lee Lab in the Vascular Biology Program at Boston Children’s Hospital invites applications for a postdoctoral fellow position in the field of artificial intelligence-based analysis of biomedical spatiotemporal data. The successful candidate will be involved in the following NIH-funded machine learning projects. i) Spatiotemporal forecasting of COVID-19 spread (co- advised by Dr. Mauricio Santillana Guzman in Computational Health Informatics Program at Boston Children’s Hospital), and ii) Live cell-based cancer diagnosis/phenotyping. The range of annual salary will be based on NIH postdoctoral payscale, including a full benefits package. Boston Children’s Hospital is one of Harvard-affiliated hospitals. The successful candidate will hold an academic appointment at Harvard Medical School and enjoy ample collaborative opportunities within Harvard Medical School community.

Admissions

Screening of applicants will begin immediately and will continue until the positions are filled.

Qualifications

We seek qualified candidates with a strong background in computer science or computational biology/epidemiology. The candidates are expected to have expertise in at least one of the following areas: machine learning, deep learning, epidemiological modeling, image analysis, and computational biology.

How to apply

Those who are interested in these positions should contact Dr. Kwonmoo Lee directly (kwonmoo.lee@childrens.harvard.edu) and send a cover letter outlining their research interest, Curriculum Vitae including contact information of three references, and PDF files of selected publications.

Publications

Chen KY, Borglund EM, Postema EC, Dunn AG, Bourgeois FT. Reporting of clinical trial safety results in ClinicalTrials.gov for FDA-approved drugs: A cross-sectional analysis. Clinical trials (London, England) 2022.

Le Naour J, Sztupinszki Z, Carbonnier V, Casiraghi O, Marty V, Galluzzi L, Szallasi Z, Kroemer G, Vacchelli E. A loss-of-function polymorphism in compromises therapeutic outcome in head and neck carcinoma patients. Oncoimmunology 2022.

Klann JG, Strasser ZH, Hutch MR, Kennedy CJ, Marwaha JS, Morris M, Samayamuthu MJ, Pfaff AC, Estiri H, South AM, Weber GM, Yuan W, Avillach P, Wagholikar KB, Luo Y, Omenn GS, Visweswaran S, Holmes JH, Xia Z, Brat GA, Murphy SN. Distinguishing Admissions Specifically for COVID-19 from Incidental SARS-CoV-2 Admissions: A National Retrospective EHR Study. Journal of medical Internet research 2022.