NYU Grossman School of Medicine is looking to solve clinically and operationally significant prediction and classification problems across the medical center by applying the latest advances in machine learning and predictive analytics.
Requirements
- Proficiency in at least one programming language (Python, R) and machine learning tools (scikit learn, R)
- Knowledge of predictive modeling and machine learning concepts, including design, development, evaluation, deployment and scaling to large datasets
- Familiarity with computing models for big data Hadoop / MapReduce, Spark etc.
- Knowledge of databases (Relational / SQL, NOSQL, MongoDB, etc.)
- Good grasp of software engineering principles. Experience in integrating modern software architectures
- Knowledge and some experience in operational aspects of software development and deployment, including automation, testing, virtualization and container technology
Responsibilities
- Prepare and present results and reports (both written and oral) concerning processes, models, evaluation, and impact (ROI) to a variety of audiences.
- Design and build data solutions using state of the art machine learning and informatics methods; deploy and integrate these products within the larger ecosystem of healthcare infrastructure at NYULMC
- Work with large, complex and noisy clinical datasets for solving challenging problems in the healthcare domain
- Build and engineer workflows to collect, store, clean and process structured as well as unstructured data, verify their integrity and appropriateness for specific business processes and analytics systems
- Collaborate with the overall NYULMC healthcare community and contribute to ongoing predictive modeling / analytics efforts
Other
- Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field)
- Excellent written and oral communication skills for a variety of audiences
- Qualified candidates must be able to effectively communicate with all levels of the organization.
- 1-2 years experience demonstrated skills in design and implementation of complex machine learning models
- PhD in a quantitative field such as Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field
