Nina Siman
About Nina Siman
Nina Siman is a Senior Data Analyst at NYU Langone Health with extensive experience in data analysis and research across various institutions.
Current Position at NYU Langone Health
Nina Siman holds the position of Senior Data Analyst at NYU Langone Health. She has been in this role since 2017, where she plays a critical role in planning, designing, and executing statistical analyses for various research projects. Her responsibilities include close collaboration with the lead biostatistician and coordination of data extractions and data dictionary development with partners.
Previous Role at NYU Langone Health
Prior to her current role, Nina Siman worked as a Data Analyst at NYU Langone Health from 2016 to 2017. During this time, she gained significant experience in the field, setting the stage for her eventual promotion to a senior position. Her work involved detailed data analysis and contributing to research project designs.
Experience at Research Alliance for New York City Schools
Nina Siman was a Research Analyst at the Research Alliance for New York City Schools at NYU from 2012 to 2016. Over these four years, she dedicated herself to thorough research and data analysis within the Greater New York City Area. Her role involved designing and conducting analyses that supported educational research initiatives.
Education and Academic Background
Nina Siman has a strong academic background. She holds a Master's Degree in Applied Quantitative Research from New York University, completed from 2014 to 2015. Additionally, she earned a Master of Science in Education in Interdisciplinary Studies in Human Development from the University of Pennsylvania during 2011-2012. She completed her undergraduate studies in Psychology with a Bachelor of Arts from Lehigh University, which she attended from 2007 to 2011.
Research Contributions
Nina Siman has made meaningful contributions to research through her involvement in the AHRQ study. She works closely with the lead biostatistician to plan, design, and implement statistical analyses. She also serves as the lead contact for coordinating data extractions and developing data dictionaries with partners. Her work supports the development of publications and conference presentations, showcasing the impact of her research efforts.