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We have an exciting opportunity to join our team as a Data Analyst.

The Data Analyst will work directly with Dr. Horwitz, the Director of the Division of Healthcare Delivery Science and the Center for Healthcare Innovations and Delivery Science, as well as the Rapid RCT Lab. We are seeking a qualified Data Analyst to provide support for data management and analyses across the Rapid RCT portfolio of projects. The Data Analyst will be responsible for planning, designing, and implementing statistical analyses. A successful applicant will be able to work autonomously and comfortably in an academic medical center environment.

Job Responsibilities

• Maintain existing data collection and analysis systems in support of the research protocol
• 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 by the Division Director and with the guidance of the team's lead biostatistician, conduct basic statistical analyses and present them to the team

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; 2. Appropriate computer processing methods used to generate, organize and display statistical and research data; and standard English grammar, spelling, and usage; 3. Strong attention to detail; 4. Problem-solving and critical thinking skills; 5. Planning/organizational skills; 6. Personal motivation

Qualified candidates must be able to effectively communicate with all levels of the organization.