Tech Data Service Company
Biotechnology, 700 American Ave Ste 102, King of Prussia, Pennsylvania, 19406, United States, 51-200 Employees
Phone Number: 61********
Who is TECHDATA SERVICE COMPANY
TechData Service Company, LLC (TechData) is a well-known provider of talented IT and data science professionals. Our extensive knowledge of and focus on the pharmaceutical and biotechnolo...
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- Headquarters: 700 American Ave Ste 102, King of Prussia, Pennsylvania, 19406, United States
- Date Founded: 2000
- Employees: 51-200
- Revenue: $50 Million to $100 Million
- Active Tech Stack: See technologies
Industry: Biotechnology
SIC Code: 7361 | NAICS Code: 443120 | Show More
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Frequently Asked Questions Regarding TechData Service Company
Answer: TechData Service Company's headquarters are located at 700 American Ave Ste 102, King of Prussia, Pennsylvania, 19406, United States
Answer: TechData Service Company's phone number is 61********
Answer: TechData Service Company's official website is https://techdataservice.com
Answer: TechData Service Company's revenue is $50 Million to $100 Million
Answer: TechData Service Company's SIC: 7361
Answer: TechData Service Company's NAICS: 443120
Answer: TechData Service Company has 51-200 employees
Answer: TechData Service Company is in Biotechnology
Answer: TechData Service Company contact info: Phone number: 61******** Website: https://techdataservice.com
Answer: TechData Service Company, LLC (TechData) is a well-known provider of talented IT and data science professionals. Our extensive knowledge of and focus on the pharmaceutical and biotechnology research industries means that we are accomplished at providing the most qualified and high-level expert services in the pharmaceutical industry. We pride ourselves on our ability to provide technology solutions for each client, with the goals of maximizing cost saving and improving productivity. Our current available resources include professionals in clinical research, medical writing, software development, and data science professionals in clinical data management, statistics and SAS/statistical programming.
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