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We have an exciting opportunity to join our team as a Data Analyst. NYU Langone Health is the Coordinating site for a major NIH grant to study Post-Acute Sequelae of SARS-CoV-2 Infection (PASC) or Long COVID. This 4 year initiative aims to answer key research questions needed to advance the scientific community's understanding of Long COVID and discover effective therapeutics to address it. The (insert job title) position is part of the Clinical Science Core (CSC) whose purpose is to coordinate the development and implementation of master protocols; to provide expertise in clinical protocol design, implementation; and execution of large clinical research studies for the PASC grant. This is an interdepartmental effort that spans the Office of Science and Research, Department of Medicine, Department of Population Health and Medical Center IT.

Job Responsibilities

• This Data Analyst position is part of the Protocol Development and Implementation unit of the CSC. The Data Analyst will assist the Leadership team, CSC Senior Key Personnel and CSC Consortium in protocol development activities. Duties and Responsibilities: Provide technical assistance to analysts and researchers in accessing and analyzing datasets, as needed Create descriptive data summaries including visualizations and written descriptions of data findings for a wide range of audiences Design and conduct analyses pertaining to data acquired thorough various data sources Work with staff and others to facilitate automation of standard, recurrent data acquisition, management, analysis and reporting Support the development of publications and conference presentations, including drafting academic and nonacademic publications, writing conference abstracts, conducting lit reviews and creating tables and other data visualizations for presentations
• Under direct supervision, conduct basic statistical analyses and present them to the team Maintain existing data collection and analysis systems in support of the research protocol
• Support the development of publications and conference presentations, including drafting academic and nonacademic publications, writing conference abstracts, conducting lit reviews and creating tables and other data visualizations for presentations

Minimum Qualifications

To qualify you must have a Masters degree in health care economics, health care policy, applied statistics, data science, biostatistics or a Bachelors degree with relevant work experience; Strong quantitative skills and advanced programming skills in Stata, SAS, and/or R; At least 2 years of work experience and/or research experience in a relevant setting; Ability to select and apply appropriate statistical methods for collecting and summarizing varied data; Excellent organization, time management, and communication skills and the ability to work both independently and as part of a collaborative research team.

Preferred Qualifications

Knowledge of principles and methods of biostatistics; principles, theories, and procedures of epidemiology, including study design, statistical analysis, and causal inference; Appropriate computer processing methods used to generate, organize and display statistical and research data; Strong attention to detail; Problem-solving and critical thinking skills; Planning/organizational skills; Personal motivation.