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The Computational Healthcare Analytics Program (CHAP) at Boston Children’s Hospital is seeking a post-doctoral research fellow and research scientists. The fellow/researcher will join a multidisciplinary team of clinicians, mathematicians, informaticists, engineers, statisticians, and operations researchers to develop cutting-edge healthcare analytics with real-world implementation.

The position is aimed at highly motivated and skilled individuals with expertise in machine learning algorithm development and applications, and a strong interest in healthcare.

Overview of the Computational Healthcare Analytics Program (CHAP)

The Computational Healthcare Analytics Program (CHAP) is an innovative research program in the Department of Urology at Boston Children's Hospital. Our mission is to create and implement revolutionary healthcare analytics by combining cutting-edge medicine and state-of-the-art novel data science. We are an interdisciplinary program, combining physician-scientists and data scientists, that provides the infrastructure and resources to enable the development of next-generation innovations aimed at improving the health and life of children.

Our team is comprised of faculty from MIT and Harvard Medical School with deep expertise in machine learning algorithms and artificial intelligence. These advanced analytics provide unprecedented tools with which we can identify highly complex patterns from vast amounts of data, allowing robust predictions. These insights will revolutionize healthcare by assisting clinicians in making the most individualized, safe, and cost-effective decisions for their patients.

Primary duties and responsibilities

Core Responsibilities

• develop novel predictive/prescriptive models and algorithms in healthcare
• statistical analysis of large clinical datasets from national and regional sources
• work independently on multiple ongoing projects with flexibility to adjust to new priorities
• present the work in form of scientific publications and oral communications to the scientific community

The group is located at the Boston Children’s Hospital, a teaching hospital affiliated with Harvard University.

Requirements

• strong proficiency with R and Python; proficiency with other major programming languages for data science and statistical analysis (e.g. Julia, SAS, Matlab) is a plus, as well as other programming languages (e.g. C++)
• familiarity with modern analysis paradigms in machine learning and statistics
• familiarity with a wide range of popular supervised and unsupervised machine learning models
• strong communication skills and ability to effectively translate scientific concepts to multidisciplinary personnel
• demonstrated ability and experience in advanced analytics
• highly proficient in spoken and written English and scientific writing skills.

The candidates for post-docs or research scientists must hold a PhD or equivalent degree by the start of employment.

About Boston Children's Hospital

Boston Children's Hospital is a world-leading 404-bed comprehensive center for pediatric health care. Its primary mission is to improve and advance the health and well-being of children around the world through its life-changing work in clinical care, biomedical research, medical education and community engagement. Boston Children's is ranked the number one pediatric hospital in the nation by U.S. News and World Report for 10 years running. It is home to the world's largest pediatric research enterprise, and it is the leading recipient of pediatric research funding from the National Institutes of Health. It is the primary pediatric teaching hospital for Harvard Medical School. Boston Children’s treats more children with rare diseases and complex conditions than any other hospital.

Connections working at Boston Children's Hospital