Nareh Sahakian
About Nareh Sahakian
Nareh Sahakian is a Data Engineer with a strong background in bioinformatics and behavioral neuroscience. He has held various research and engineering positions at prestigious institutions, including the Broad Institute of MIT and Harvard.
Work at Centaur Labs
Nareh Sahakian has been employed at Centaur Labs as a Data Engineer since 2022. In this role, she contributes to the development and management of data systems, focusing on enhancing data processing and analysis capabilities. Her position is based in Boston, Massachusetts, where she applies her expertise in bioinformatics and software engineering to support the company's objectives.
Education and Expertise
Nareh Sahakian holds a Master’s Degree in Bioinformatics from Northeastern University, which she completed from 2017 to 2020. Prior to that, she earned a Bachelor of Science (B.S.) in Behavioral Neuroscience from the same institution, studying from 2012 to 2016. Her educational background provides a strong foundation in data analysis and biological research.
Background
Nareh Sahakian completed her high school education at Lynnfield High School from 2008 to 2012. Following her high school graduation, she pursued higher education at Northeastern University, where she focused on the fields of bioinformatics and behavioral neuroscience.
Professional Experience at Broad Institute
Nareh Sahakian has extensive experience at the Broad Institute of MIT and Harvard. She worked as a Research Associate I from 2017 to 2018 and as a Research Associate II for five months in 2018. Additionally, she held positions as an Associate Software Engineer from 2018 to 2021 and as a Software Engineer from 2021 to 2022. Her roles involved various research and software development tasks in Cambridge, Massachusetts.
Research Experience
In addition to her work at the Broad Institute, Nareh Sahakian served as a Research Assistant at Retina France for four months in 2016 and at the McGovern Institute for Brain Research for seven months in 2014. These positions allowed her to gain practical experience in research settings, contributing to her development as a data engineer.