Job Specifications
NYU Langone Health is a fully integrated health system that consistently achieves the best patient outcomes through a rigorous focus on quality that has resulted in some of the lowest mortality rates in the nation. Vizient Inc. has ranked NYU Langone the No. 1 comprehensive academic medical center in the country for three years in a row, and U.S. News & World Report recently placed nine of its clinical specialties among the top five in the nation. NYU Langone offers a comprehensive range of medical services with one high standard of care across 6 inpatient locations, its Perlmutter Cancer Center, and over 320 outpatient locations in the New York area and Florida. With $14.2 billion in revenue this year, the system also includes two tuition-free medical schools, in Manhattan and on Long Island, and a vast research enterprise with over $1 billion in active awards from the National Institutes of Health.
For more information, go to NYU Langone Health, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter, YouTube and Instagram.
Position Summary:
We have an exciting opportunity to join our team as a Data Analyst - Health Informatics.
We have an exciting opportunity to join the MCIT Department of Health Informatics at NYU Langone as a Data Analyst in biostatistics. This position will support various departmental quality and safety, innovation, clinical, educational, and research objectives and data requirements. The Data Analyst will work closely with faculty and staff to manage, analyze, and visualize clinical, administrative, and operational data, and facilitate planning, designing, and implementing statistical analyses. The successful candidate will demonstrate an advanced knowledge of data analysis and biostatistics; a high degree of professional maturity; commitment to excellence; independence, flexibility, and initiative; and will possess the ability to work collaboratively with diverse individuals, teams, and populations both internally and externally.
Job Responsibilities:
Under the guidance of research faculty, design and implement high-impact statistical analyses to support cutting-edge research initiatives and innovation
Engineer and deploy data extraction and analysis pipelines leveraging tools like Epic Signal, Cosmos, SlicerDicer, Microsoft SQL Server, Oracle SQL Developer, and Databricks to enable biostatistical modeling and advanced analytics
Architect and execute innovative reporting systems, including the creation of dynamic and scalable reporting structures to meet diverse user needs
Establish robust, comprehensive data dictionaries to standardize and align datasets across systems and applications
Create advanced data visualizations and interactive dashboards using Tableau or equivalent tools to deliver actionable insights
Perform reviews to maintain accuracy and completeness of data
Manages the submission and tracking of data and data requests, and communicate status to project leaders
Partner with clinicians and domain experts to identify and define analytical requirements, ensuring the development of data-driven solutions for both operational and research purposes
Actively engage Epic UserWeb community to gain insights in novel data collection issues and/or opportunities related to Epic Signal and related databases
Support the development of publications and conference presentations, including drafting academic and nonacademic publications, writing conference abstracts, conducting literature reviews, and creating tables and other data visualizations
Design and build frameworks for AI model development, training, and assessment, including large language models (LLMs) and generative models
Provide technical assistance to analysts and researchers in accessing and analyzing datasets
Maintain clear documentation of research and programming code per best practices
Participate in regular meetings that pertain to data management, project coordination, and ongoing research projects
Develop and implement machine learning and predictive analytics models to optimize medical decision-making and enhance patient care
Minimum Qualifications:
To qualify you must have a Masters degree in biostatistics, computer science, information management, statistics, or data science
Minimum 2 years of data extraction and analysis experience, preferably in biostatistics, or a healthcare or research setting
Knowledge of principles and methods of biostatistics; principles, theories, and procedures, including study design, statistical analysis, and causal inference
Proficiency in biostatistical data analysis
Fluency in SQL to query databases
Proficiency with databricks platform
Experience with Tableau software
Strong quantitative and advanced programming skills with statistical software such as R, Stata, SAS, and/or SPSS
Familiarity with Epic datasets + tools a strong plus; strong preference for prior experience extracting and managing data from Epic Signal and ancillary systems
Qualified ca