Madeleine Carbonneau
About Madeleine Carbonneau
Madeleine Carbonneau is an Analyst at Roivant Sciences, specializing in the analysis of patient cohorts using claims and electronic health record data. She has a background in applied mathematics from Harvard University and has held various analytical roles in the healthcare sector.
Current Role at Roivant Sciences
Madeleine Carbonneau serves as an Analyst at Roivant Sciences, a position she has held since 2020. Based in the New York City Metropolitan Area, she specializes in analyzing and statistically describing patient cohorts using claims and electronic health record data. In her role, she contributes to the Computational Research team at Sumitovant Biopharma, which is a sister company of Roivant Sciences. Her work involves building web-based dashboards that allow stakeholders to query over 1,000 indications, providing automated quantitative and graphical analyses.
Previous Experience at Abveris
Prior to her current role, Madeleine Carbonneau worked at Abveris as a Business Development Intern from 2019 to 2020. During her one-year tenure, she gained experience in the business development sector, contributing to various projects and initiatives within the organization.
Teaching Fellowship at Harvard University
In 2020, Madeleine served as a Teaching Fellow at Harvard University for a duration of four months. This role took place in Cambridge, Massachusetts, and involved supporting educational activities within her department, enhancing her experience in academic settings.
Internship at Massachusetts Legal Assistance Corporation
Madeleine gained additional experience as a Data Analyst Intern at the Massachusetts Legal Assistance Corporation in 2019. This internship lasted for two months and provided her with insights into data analysis within a legal assistance context.
Education in Applied Mathematics at Harvard University
Madeleine Carbonneau completed her undergraduate studies at Harvard University, where she earned an AB in Applied Mathematics from 2016 to 2020. Her education provided her with a strong foundation in quantitative analysis, which she applies in her current and previous roles.