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

Keloth VK, Banda JM, Gurley M, Heider PM, Kennedy G, Liu H, Liu F, Miller T, Natarajan K, V Patterson O, Peng Y, Raja K, Reeves RM, Rouhizadeh M, Shi J, Wang X, Wang Y, Wei WQ, Williams AE, Zhang R, Belenkaya R, Reich C, Blacketer C, Ryan P, Hripcsak G, Elhadad N, Xu H. Representing and Utilizing Clinical Textual Data for Real World Studies: An OHDSI Approach. Journal of biomedical informatics 2023.

Toce MS, Michelson KA, Hudgins JD, Olson KL, Monuteaux MC, Bourgeois FT. Association of prescription drug monitoring programs with benzodiazepine prescription dispensation and overdose in adolescents and young adults. Clinical toxicology (Philadelphia, Pa.) 2023.

Brown T, de Salazar Munoz PM, Bhatia A, Bunda B, Williams EK, Bor D, Miller JS, Mohareb A, Thierauf J, Yang W, Villalba J, Naranbai V, Garcia Beltran W, Miller TE, Kress D, Stelljes K, Johnson K, Larremore D, Lennerz J, Iafrate AJ, Balsari S, Buckee C, Grad Y. Geographically skewed recruitment and COVID-19 seroprevalence estimates: a cross-sectional serosurveillance study and mathematical modelling analysis. BMJ open 2023.

El-Hayek C, Barzegar S, Faux N, Doyle K, Pillai P, Mutch SJ, Vaisey A, Ward R, Sanci L, Dunn AG, Hellard ME, Hocking JS, Verspoor K, Boyle DI. An evaluation of existing text de-identification tools for use with patient progress notes from Australian general practice. International journal of medical informatics 2023.

Patik I, Redhu NS, Eran A, Bao B, Nandy A, Tang Y, El Sayed S, Shen Z, Glickman J, Fox JG, Snapper SB, Horwitz BH. The IL-10 receptor inhibits cell extrinsic signals necessary for STAT1-dependent macrophage accumulation during colitis. Mucosal immunology 2023.