Big Data & Analytics - COVID-19 Prevention Projects (Palo Alto)

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Medwiser is a nonprofit founded in 2005, to prevent the spread of infectious disease. We are working on a range of projects to assist with the global effort to stop COVID-19.

We need individuals experienced with big data analysis to assist in research related to analyzing COVID-19 data, to help lead to either publication or insight to help prevent the spread of COVID-19.

This description is intended to provide only basic guidelines for meeting job requirements. Responsibilities, knowledge, skills, abilities and working conditions may change as needs evolve.

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About Medwiser


1979 Marcus Ave, New Hyde Park, NY 11042, US

Mission Statement

Medwiser is now part of a larger group of non-profit organizations that develop educational content, conduct research and engage in public health activities in several health related areas including: Addiction, Cancer, Headache, HIV/AIDS, Infectious Disease, Medical Marijuana, Neurology and Sleep disorders.


Along with Volunteer Match we have had hundreds of volunteers from across the globe working on numerous projects including:

  • Advertising
  • Adwords - Google
  • Business Development
  • Computer Programming
  • Editing
  • Facebook Management
  • Graphic design
  • Human Resources
  • Legal review
  • Management
  • Marketing
  • Public health
  • Public relations
  • Salesforce administration
  • Search Engine Optimization (SEO)
  • Volunteer Management
  • Website Management
  • Wordpress administration
  • Writing

Volunteer benefits

  • Utilize your skill set to make a difference
  • Meet others like you who have joined
  • Perfect your current skill set
  • Perform community service
  • Teach and train others

Learn more @ MEDWISER.ORG

Computers & Technology
Education & Literacy
Health & Medicine


We'll work with your schedule.


228 Hamilton AvenuePalo Alto, CA 94301


  • Research
  • Python
  • Marketing Analytics
  • Analytics


  • People 55+
  • Group


  • Must be at least 18
  • 20+ - 80+_ hours
  • Experience analyzing big data, data analytics and relevant programming

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