| NYU School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. For more information, go to med.nyu.edu, and interact with us on Facebook, Twitter and Instagram. Position Summary:
We have an exciting opportunity to join our team as a Developer II-Information Mgt.
In this role, the successful candidate The Predictive Analytics Unit (PAU) is a data science team that is a part of Medical Center IT (MCIT) and the Center for Healthcare Innovation and Delivery Science. The unit applies the latest advances in machine learning and predictive analytics toward solving clinically and operationally significant prediction and classification problems across the medical center. We are both an operational and academic group that applies machine learning in healthcare settings and pushes the boundaries of academic research.
PAU works on scalable infrastructure to deploy and monitor machine learning based predictive analytic systems. We cover all facets of the machine learning pipeline, including model building, evaluation, deployment, operations and maintenance/upgrade, as well as their integration with operational and decision-support systems at the hospital. Through the job, developers will become proficient with machine learning based tools and pipelines, and challenges involved in their real-world deployments. Our stack currently includes Linux, Python, MySQL, Oracle, MongoDB, Docker, and Tableau.
This effort is led by Dr. Yindalon Aphinyanaphongs, Director of Clinical Predictive Analytics and Assistant Professor at the Center for Healthcare Innovation and Delivery Science.
Position Description:
We are seeking a qualified data modeler, data warehouse designer, ETL developer, SQL expert, data visualizer who can turn heterogeneous data into clean, readable, actionable data flows and personalized visual analytics. This position involves test-driven ETL development. Job Responsibilities: - Maintain data quality and integrity of the data repositories
- Develop semantic layer, data models, reports and dashboards using analytical tools (e.g., Tableau)
- Query tuning/optimization for performance
- Map source system data to target data models
- Define and capture metadata and rules associated with ETL processes
- Monitor production jobs and resolve any issues in a timely manner
- Perform data modelling for the target data repositories
- Design, implement and maintain ETL processes from multiple data sources to various data repositories including relational, dimensional and NoSQL databases
- Design and implement data flows and visualizations, generally working with a small team of developers
Minimum Qualifications:
To qualify you must have a Bachelors degree in Computer Science or a related discipline required, masters degree preferred
Proficiency in SQL and PL/SQL skills
Experience with various relational database management systems
Good knowledge and experience with ETL concepts and processes
Strong relational and multidimensional data modeling skills
Knowledge of query tuning and use of query hints & indexes
Business Intelligence (BI) experience with a strong understanding of data warehousing concepts, data modeling concepts and design
Must have a strong capacity for delivering on deadlines, attention to detail and documenting work
Excellent analytical and communication skills
Ability to work in a fast-paced and dynamic environment
Experience with big data technologies, such as NoSQL databases, Hadoop, High Performance Computing (HPC) is preferred
Experience with Clarity is preferred
Experience in the healthcare industry is preferred Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents.
NYU School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online.
If you wish to view NYU School of Medicine's EEO policies, please click here. Please click here to view the Federal 'EEO is the law' poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. To view the Pay Transparency Notice, please click here.  |
