Li He

Li He Email and Phone Number

Principal Scientist, Biostatistics @ Merck
Li He's Location
Philadelphia, Pennsylvania, United States, United States
Li He's Contact Details

Li He personal email

n/a
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.

Li He's Current Company Details
Merck

Merck

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Principal Scientist, Biostatistics
Li He Work Experience Details
  • Merck
    Principal Scientist, Biostatistics
    Merck Sep 2021 - Present
    Rahway, New Jersey, Us
    View
  • Merck
    Associate Principle Scientist
    Merck Jun 2017 - Sep 2021
    Rahway, New Jersey, Us
    View
  • Merck
    Senior Scientist, Biostatistics
    Merck Jun 2012 - May 2017
    Rahway, New Jersey, Us
    View
  • Statistics Department, Temple University
    Adjunct Professor
    Statistics Department, Temple University 2012 - 2020
  • Statistics Department, Temple University
    Research Assistant Professor
    Statistics Department, Temple University 2011 - 2012

Li He Skills

Biostatistics R Sas Statistics Statistical Modeling Time Series Analysis Sas Programming Clinical Trials Data Analysis Data Mining Clinical Development Survival Analysis Clinical Research Clinical Data Management Oncology

Li He Education Details

  • Nankai University
    Nankai University
  • Temple University
    Temple University
    Statistics
  • University Of Pennsylvania
    University Of Pennsylvania
    Computer Science

Frequently Asked Questions about Li He

What company does Li He work for?

Li He works for Merck

What is Li He's role at the current company?

Li He's current role is Principal Scientist, Biostatistics.

What is Li He's email address?

Li He's email address is he****@****ple.edu

What schools did Li He attend?

Li He attended Nankai University, Temple University, University Of Pennsylvania.

What skills is Li He known for?

Li He has skills like Biostatistics, R, Sas, Statistics, Statistical Modeling, Time Series Analysis, Sas Programming, Clinical Trials, Data Analysis, Data Mining, Clinical Development, Survival Analysis.

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