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

Hopper RK, Abman SH, Elia EG, Avitabile CM, Yung D, Mullen MP, Austin ED, Bates A, Handler SS, Feinstein JA, Ivy DD, Kinsella JP, Mandl KD, Raj JU, Sleeper LA, . Pulmonary Hypertension in Children with Down Syndrome: Results from the Pediatric Pulmonary Hypertension Network Registry. The Journal of pediatrics 2022.

Wang X, Zhang HG, Xiong X, Hong C, Weber GM, Brat GA, Bonzel CL, Luo Y, Duan R, Palmer NP, Hutch MR, Gutiérrez-Sacristán A, Bellazzi R, Chiovato L, Cho K, Dagliati A, Estiri H, García-Barrio N, Griffier R, Hanauer DA, Ho YL, Holmes JH, Keller MS, Klann MEng JG, L'Yi S, Lozano-Zahonero S, Maidlow SE, Makoudjou A, Malovini A, Moal B, Moore JH, Morris M, Mowery DL, Murphy SN, Neuraz A, Yuan Ngiam K, Omenn GS, Patel LP, Pedrera-Jiménez M, Prunotto A, Jebathilagam Samayamuthu M, Sanz Vidorreta FJ, Schriver ER, Schubert P, Serrano-Balazote P, South AM, Tan ALM, Tan BWL, Tibollo V, Tippmann P, Visweswaran S, Xia Z, Yuan W, Zöller D, Kohane IS, Avillach P, Guo Z, Cai T, . SurvMaximin: Robust federated approach to transporting survival risk prediction models. Journal of biomedical informatics 2022.

Torous J, Stern AD, Bourgeois FT. Regulatory considerations to keep pace with innovation in digital health products. NPJ digital medicine 2022.

Levy S, Wisk LE, Minegishi M, Ertman B, Lunstead J, Brogna M, Weitzman ER. Association of Screening and Brief Intervention With Substance Use in Massachusetts Middle and High Schools. JAMA network open 2022.

Nielsen M, Presti M, Sztupinszki Z, Jensen AWP, Draghi A, Chamberlain CA, Schina A, Yde CW, Wojcik J, Szallasi Z, Crowther MD, Svane IM, Donia M. Co-existing alterations of MHC class I antigen presentation and IFNγ signaling mediate acquired resistance of melanoma to post-PD-1 immunotherapy. Cancer immunology research 2022.