Position:
Data Scientist, Real-World Evidence at Johnson & Johnson
Location:
New Orleans, Louisiana, United States
Found email addresses for Jin Dai:
Found phone for Jin Dai:
Jan 2026 - Current
Aug 2024 - Dec 2025
Their professional focus is Causal Inference, Machine Learning, and Python (Programming Language) across 3 core areas.
Doctor of Philosophy - PhD at UCLA Fielding School of Public Health
Master of Science - MS at Peking University
Bachelor of Science - BS at Peking University
What is Jin Dai's email address?
SignalHire found verified email addresses for Jin Dai, both business and personal. Their business email is j**d@jnj.com, and personal emails include j**i@tulane.edu.What is Jin Dai's phone number?
SignalHire found a verified phone number for Jin Dai: +1-***-***-9625.How do I contact Jin Dai at Johnson & Johnson?
You can reach Jin Dai through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.What is Jin Dai's professional background?
Jin Dai has 2 years of professional experience. They have held roles including Postdoctoral Fellow in Epidemiology at companies such as Tulane University Celia Scott Weatherhead School of Public Health and Tropical Medicine. Their education includes Doctor of Philosophy - PhD from UCLA Fielding School of Public Health, and Master of Science - MS from Peking University.Is Jin Dai's contact information up to date?
Yes. Jin Dai's SignalHire profile was last updated on 26 May 2026, reflecting their current position as Data Scientist, Real-World Evidence at Johnson & Johnson in New Brunswick, NJ, United States.SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
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