Ajit Londhe is a Senior Director in Real World Data & Analytics and an epidemiologist with over a decade of experience translating observational health data into actionable evidence using open-source standards. He has led RWD teams at Boehringer Ingelheim and Amgen and helped operationalize OHDSI/OMOP best practices across industry programs to accelerate reproducible studies and analytics. With a background in computer science and an MPH in epidemiology, he blends technical implementation, visualization, and methodological rigor to design disease natural history studies and safety/efficacy analyses. A long-time OHDSI collaborator, he brings rare cross-functional fluency—equally comfortable with cloud-based data engineering, analytic pipelines, and stakeholder-facing evidence synthesis.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Science Computer Science and Engineering, Bachelor of Science Computer Science and Engineering at Penn State University
Master of Public Health (M.P.H.) Epidemiology, Master of Public Health (M.P.H.) Epidemiology at Emory University
ATLAS is an open source software tool for researchers to conduct scientific analyses on standardized observational data
Contributions:27 pushes, 5 branches in 2 years 3 months
data-managementscienceanalysesatlasresearchers
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Ajit Londhe - Senior Director, Real World Data & Analytics