Jonas Walheim
About Jonas Walheim
Jonas Walheim is a Scientist in Translational Epidemiology at Bristol Myers Squibb with a background in data science and research in real-world data analytics, epidemiology, and imaging algorithms.
Current Role at Bristol Myers Squibb
Jonas Walheim currently holds the position of Scientist in Translational Epidemiology at Bristol Myers Squibb. In this role, he leverages his expertise to bridge the gap between laboratory research and clinical practice. His work involves utilizing epidemiological methods to translate scientific findings into actionable clinical strategies, enhancing patient care and treatment outcomes.
Previous Experience at PwC
From 2020 to 2021, Jonas Walheim worked as a Data Scientist specializing in Real World Data Analytics at PwC in the Zürich Area, Switzerland. During this time, he contributed to various projects that analyzed large-scale healthcare data to generate actionable insights. His work involved the application of data science techniques to real-world health data, supporting decision-making processes in the healthcare sector.
Research at ETH Zürich
Jonas Walheim conducted extensive research at ETH Zürich from 2016 to 2020. His contributions during this period advanced the fields of epidemiology and public health. His research efforts focused on developing innovative methods and strategies to better understand and address public health challenges.
Education and Qualifications
Jonas Walheim holds a Master's degree in Electrical Engineering from Karlsruhe Institute of Technology, earned from 2013 to 2016. He also studied Communication, Multimedia at Grenoble Inp - Phelma during the same period. He completed his Bachelor's degree in Electrical Engineering from Karlsruhe Institute of Technology from 2010 to 2013, and another Bachelor's degree in Physics, Electronics from Grenoble Inp - Phelma from 2012 to 2013.
Internships at Siemens
Jonas Walheim has completed several internships at Siemens. From 2014 to 2015, he interned at Siemens Healthcare where he developed imaging algorithms for MRI neuroapplications. He further enhanced his research experience at Siemens Corporate Research as a Research Intern from 2015 to 2016, contributing to projects focused on advanced imaging algorithms.