Enables comparative analyses and integration of large and complex
data sets across multiple studies and sources. Responsibilities
include interfacing with technology infrastructure to support
biomedical research within the Heart Institute and the Department
of Anesthesia. Outcomes from dedicated analytic projects should
contribute to the growth and expansion of predictive analytics,
heart institute and department of anesthesia on a local and
national level. The data scientist should contribute to
peer-reviewed journal publications, present at local and national
conferences, identify funding opportunities, and assist with the
development of contracts and grant proposals.
- Analysis and modeling of data for single and multi-center
projects to make substantive contributions to the field of
- Engage in pre-processing of data (Extract-Transform-Load; ETL)
to address missing data, potential noise/bias, and other
unstructured data attributes.
- Develop mathematical and machine learning models for prediction
and classification of critical physiological events to efficiently
and accurately describe potential associations that may exist
within the data.
- Analyze data using sophisticated data mining algorithms and
methodologies to discover potential patterns and trends that may
exist within the data.
- Implement, deploy and monitor developed machine-based learning
algorithms to examine streams of data using state of the art
- Support to internal and external research proposals for
regional and national funding agencies to contribute to sustainable
research goals per JHACH strategic plans.
- Advise on strategies for obtaining outside funds; works with
Heart Institute and Department of Anesthesia staff to structure and
propose new activities for funding; and prepare background
materials as needed for meetings with foundations, government
agencies and other donors. By year 3 this position should be
self-sufficient based on grant awards.
- Contribute to the initiatives related to the growth and
sustainability of Heart Institute, Department of Anesthesia and
predictive analytics at JHACH to facilitate research specific
mission within the JHACH strategic plan. Namely, to contribute to
aiding other faculty/fellows with grant awards and
- Remains informed and educated on industry trends, research
findings, and evaluation methods.
- Contributes to a motivated work environment by encouraging
collaboration to achieve JHACH strategic goals.
- PhD in data science, analytics, informatics, statistics,
mathematics, computer science, or related field.
- Minimum 3 years of experience with progressively complex
- Minimum of 3 years of experience with core analytic
methodologies (e.g. regression, classification, clustering, matrix
factorization, natural language processing, decision trees, support
vector machines, neural networks).
- Strong programming skills in environments such as Python,
Matlab, R, SQL or other interpreted developmental languages.
- Minimum of 3 years of exposure to development of machine
learning algorithms and predictive modeling.
- Experience working with open source clinical data
- Ability to communicate and relate well to people of diverse
backgrounds, training and experience.
Please upload a CV and optional cover letter for
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