Li He Email & Phone Number
@merck.com
LinkedIn matched
Who is Li He? Overview
A concise factual answer block for searchers comparing this professional profile.
Li He is listed as Principal Scientist, Biostatistics at Merck, based in Philadelphia, Pennsylvania, United States. AeroLeads shows a work email signal at merck.com and a matched LinkedIn profile for Li He.
Li He previously worked as Associate Principle Scientist at Merck and Senior Scientist, Biostatistics at Merck. Li He studied at Nankai University.
Email format at Merck
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AeroLeads found 1 current-domain work email signal for Li He. Compare company email patterns before reaching out.
About Li He
Li He is a Principal Scientist, Biostatistics at Merck. They possess expertise in biostatistics, r, sas, statistics, statistical modeling and 10 more skills.
Listed skills include Biostatistics, R, Sas, Statistics, and 11 others.
Li He's current company
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Li He work experience
A career timeline built from the work history available for this profile.
Li He education
Education record
Doctor Of Philosophy - Phd, Statistics
Master'S Degree, Computer Science
Frequently asked questions about Li He
Quick answers generated from the profile data available on this page.
What company does Li He work for?
Li He works for Merck.
What is Li He's role at Merck?
Li He is listed as Principal Scientist, Biostatistics at Merck.
What is Li He's email address?
AeroLeads has found 1 work email signal at @merck.com for Li He at Merck.
Where is Li He based?
Li He is based in Philadelphia, Pennsylvania, United States while working with Merck.
What companies has Li He worked for?
Li He has worked for Merck and Statistics Department, Temple University.
How can I contact Li He?
You can use AeroLeads to view verified contact signals for Li He at Merck, including work email, phone, and LinkedIn data when available.
What schools did Li He attend?
Li He studied at Nankai University.
What skills is Li He known for?
Li He is listed with skills including Biostatistics, R, Sas, Statistics, Statistical Modeling, Time Series Analysis, Sas Programming, and Clinical Trials.
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