Amanda Labuda
About Amanda Labuda
Amanda Labuda is a Rotational Technology Analyst at Roivant Sciences, where she has worked since 2020. She holds a Bachelor of Fine Arts in Dance and Computer Science from New York University, where she studied from 2017 to 2020.
Work at Roivant Sciences
Amanda Labuda has been employed at Roivant Sciences since 2020, serving as a Rotational Technology Analyst. In this role, she engages in various technology projects and initiatives within the company. Roivant Sciences focuses on advancing drug development through innovative technologies and data-driven approaches. Her position allows her to apply her academic background in computer science to real-world challenges in the pharmaceutical industry.
Education and Expertise
Amanda Labuda studied at New York University, where she earned a Bachelor of Fine Arts (BFA) degree. She pursued a dual focus in Dance and Computer Science from 2017 to 2020. This educational background provides her with a unique blend of creative and technical skills, enabling her to approach problems from multiple perspectives. Her studies in computer science contribute to her analytical capabilities in her current role.
Background
Before joining Roivant Sciences, Amanda Labuda gained experience in tutoring roles. She worked as a Standardized Test Prep Tutor at Kaplan from 2018 to 2019, where she assisted students in preparing for various standardized tests. Additionally, she served as a Data Structures Tutor at New York University from 2019 to 2020, helping fellow students understand complex programming concepts. These roles enhanced her communication and teaching skills.
Previous Work Experience
Amanda Labuda has held tutoring positions that contributed to her professional development. At Kaplan, she worked as a Standardized Test Prep Tutor for one year, focusing on helping students improve their test-taking strategies. Following that, she took on the role of Data Structures Tutor at New York University for another year, where she provided support in understanding data structures and algorithms. These experiences laid a foundation for her analytical skills in her current position.