Joel Wachman

Associate Director Data Engineering, at Novartis Biomedical Research

Joel Wachman is a highly accomplished technology professional currently serving as the Associate Director of Data Engineering at Novartis Biomedical Research in Cambridge, Massachusetts.1 He is known for being a mission-oriented technologist with a strong track record of successful leadership and creativity.1

Professional Background

Wachman's career spans various prestigious roles:

Current Position: Associate Director Data Engineering at Novartis Institutes for BioMedical Research (NIBR) since April 20201
Previous Roles:
- Chief Information and Technology Officer at MIT Investment Management Company (2015-2019)
- Chief Technology Officer at Regiment Capital Advisors LP (2009-2015)
- Chief Technology Officer at Redbrick Capital Management (2004-2008)1

Education and Teaching

Wachman has a strong educational background:

Bachelor's degree in Cognitive Science from Harvard University
Master's degree from the MIT Media Laboratory3

He has also contributed to education as a Teaching Fellow at both Harvard University and Harvard Extension School.1

Skills and Expertise

Wachman is recognized for his:

Leadership abilities and creativity
Professionalism and maturity
Excellent communication skills, particularly in explaining technical concepts to non-technical audiences
Expertise in data-driven solutions, including architecture, coding, and machine learning
Ability to align, motivate, and ensure accountability within teams1

Additional Information

Wachman is bilingual, with native proficiency in English and full professional proficiency in French1
He has obtained numerous certifications in areas such as Google Cloud Platform, AI for Medical Diagnosis, and various cybersecurity topics1
Outside of his professional life, Wachman is an avid cyclist and participates in events like the Pan-Mass Challenge (PMC)2 4

Joel Wachman's diverse experience in technology leadership roles, combined with his strong educational background and continuous learning, positions him as a valuable asset in the field of data engineering and biomedical research.