Rachel Kutner
About Rachel Kutner
Rachel Kutner is a Software Engineer currently working at the Broad Institute of MIT and Harvard. She has a background in bioinformatics and has held various positions in software development and research at institutions such as Epic and Georgia Institute of Technology.
Work at Broad Institute
Rachel Kutner has been employed at the Broad Institute of MIT and Harvard as a Software Engineer since 2022. In this role, she focuses on software development and engineering solutions that support genomic research. The Broad Institute is known for its collaborative approach to biomedical research, and Kutner contributes to projects that leverage advanced computational methods to analyze genomic data.
Previous Experience at Epic
Prior to her current position, Rachel Kutner worked at Epic as a Software Developer from 2016 to 2022. During her six years in the Madison, Wisconsin area, she developed software solutions aimed at improving healthcare systems. Her experience at Epic provided her with a strong foundation in software engineering and project development within the healthcare sector.
Education and Expertise
Rachel Kutner holds a Master's degree in Bioinformatics from the Georgia Institute of Technology, which she obtained from 2014 to 2015. She also earned a Bachelor of Science (B.S.) in Biology from the same institution, completing her studies from 2009 to 2013. Her educational background equips her with a solid understanding of biological sciences and computational techniques, particularly in the context of genomic analysis.
Background in Research and Internships
Kutner has extensive research experience at the Georgia Institute of Technology, where she served as an Undergraduate Researcher from 2012 to 2013, and as a Graduate Researcher from 2014 to 2015. Additionally, she worked as a Laboratory Assistant/Tech from 2013 to 2014. Her internship at Gilead Sciences in 2015 as a Bioinformatics Intern further enhanced her skills in data analysis and bioinformatics.
Technical Skills and Tools
Rachel Kutner possesses expertise in various technical tools and methodologies, including Amazon Web Services, Hadoop, Spark, and Hive, which she utilizes for data analytics. She has developed skills in database building and management, as well as parallel computing, which are essential for handling large datasets in genomic research.