Rachel Kutner is a highly motivated and energetic biotechnology graduate with a Master's degree in Bioinformatics from the Georgia Institute of Technology. With a proven track record of taking individual initiative to solve problems, Rachel is a software developer at Epic and has worked as an intern in bioinformatics at Gilead Sciences. She has a strong background in bioinformatics, genomics, and molecular biology, as well as experience in laboratory work and research. Rachel is passionate about problem-solving and is always eager to learn new skills to help optimize lab efficiency.

Throughout her academic career, Rachel has gained a wealth of experience in cutting-edge data analytics tools such as database building and management, parallel computing, and the use of Amazon Web Services, Hadoop, Spark, and Hive. Her expertise in programming languages and genomic analysis has given her a head start in adapting to novel and efficient solutions in data analytics.

As a former graduate researcher and laboratory assistant at the Georgia Institute of Technology, Rachel has honed her analytical and critical thinking skills, making her an asset to any team with a focus on problem-solving. She has also contributed to coursework projects and research initiatives, including Mendelian Genetics Course Research Project and Computational Genomics Project.

Overall, Rachel Kutner is an accomplished professional with a diverse skill set and a passion for implementing efficient and effective solutions in the biotechnology industry.