Postdoctoral Training

There is a common core of knowledge, skills, and experiences to engage meaningfully in the field of informatics. CHIP offers training at many levels and is well integrated with the vibrant academic community at the Harvard Department for Biomedical Informatics and affiliated hospital-based training programs, providing fellows with many opportunities for interaction and collaboration.

The Computational Health Informatics Program (CHIP) at Boston Children’s Hospital hosts a training program for postdoctoral fellows to be trained in Informatics, Genomics, Machine Learning, Artificial Intelligence, and Biomedical Data Science.

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.

The Clarity- and Virtue-guided Algorithms (CAVA) Lab at Boston Children's Hospital / Harvard Medical School is seeking a post-doctoral research fellow to advance the interpretability and fairness of machine learning (ML) models deployed in critical healthcare settings.

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.

Internships

The Boston Children's Hospital Computational Health Informatics Program (CHIP) is Harvard Medical School affiliated, multidisciplinary applied research and education program. CHIP is uniquely positioned at the nexus of a world-leading children’s hospital, a first-rate academic institution, wider health networks, and thoughtful collaborations with industry.

Our research has been at the forefront of posing a wide spectrum of health questions and building solutions. Our faculty advance the science of biomedical informatics for molecular characterization of the patient, gene discovery, medical decision making, diagnosis, therapeutic selection, care redesign, public health management, population health, and re-imagined clinical trials. Our research has influenced public health policies at the highest level. Governmental health institutions, like the Centers for Disease Control and Prevention, have amended their recommendations for population health based on the research of our faculty. Our faculty have advised governments worldwide on establishing biodefense and biosurveillance infrastructures. The White House, US State Department, USAID, and NASA have recognized our faculty for their research contributions in health care.

CHIP has a longstanding track record of developing and repurposing existing technologies that have been widely commercialized. We have established partnerships with  companies like Uber, Lyft, Quest Diagnostics, and Eli Lily and have developed platforms that have been widely adopted by Apple, Google, Microsoft, and Amazon.

The CHIP AI Internship is an opportunity for undergraduate students at Harvard College to develop new machine learning and artificial intelligence approaches and apply them to fundamental challenges in biomedicine.

Project Advocacy Interns will support the team in promoting projects, social media, compiling reports, working on event logistics, and pulling campaign metrics.

Publications

Chung MK, Smith MR, Lin Y, Walker DI, Jones D, Patel CJ, Kong SW. Plasma metabolomics of autism spectrum disorder and influence of shared components in proband families. Exposome 2021.

Toce MS, Hudgins JD, Yuskaitis CJ, Monuteaux MC, Bourgeois FT. National assessment of anti-epileptic drug exposures among pre-teens and adolescents, 2000-2020. Clinical toxicology (Philadelphia, Pa.) 2022.

Schuster JE, Halasa NB, Nakamura M, Levy ER, Fitzgerald JC, Young CC, Newhams MM, Bourgeois F, Staat MA, Hobbs CV, Dapul H, Feldstein LR, Jackson AM, Mack EH, Walker TC, Maddux AB, Spinella PC, Loftis LL, Kong M, Rowan CM, Bembea MM, McLaughlin GE, Hall MW, Babbitt CJ, Maamari M, Zinter MS, Cvijanovich NZ, Michelson KN, Gertz SJ, Carroll CL, Thomas NJ, Giuliano JS, Singh AR, Hymes SR, Schwarz AJ, McGuire JK, Nofziger RA, Flori HR, Clouser KN, Wellnitz K, Cullimore ML, Hume JR, Patel M, Randolph AG, . A Description of COVID-19-Directed Therapy in Children Admitted to US Intensive Care Units 2020. Journal of the Pediatric Infectious Diseases Society 2022.

Chen D, Gervai JZ, Póti Á, Németh E, Szeltner Z, Szikriszt B, Gyüre Z, Zámborszky J, Ceccon M, d'Adda di Fagagna F, Szallasi Z, Richardson AL, Szüts D. BRCA1 deficiency specific base substitution mutagenesis is dependent on translesion synthesis and regulated by 53BP1. Nature communications 2022.

Maharaj AS, Parker J, Hopkins JP, Gournis E, Bogoch II, Rader B, Astley CM, Ivers NM, Hawkins JB, Lee L, Tuite AR, Fisman DN, Brownstein JS, Lapointe-Shaw L. Comparison of longitudinal trends in self-reported symptoms and COVID-19 case activity in Ontario, Canada. PloS one 2022.