Position:
Forensic Scientist at Quest Diagnostics
Location:
Olathe, Kansas, United States
Found email addresses for Bailey Kinney:
Found phones for Bailey Kinney:
Jun 2023 - Current
May 2022 - May 2023
Aug 2020 - May 2022
Their professional focus is Data Analysis, GC-MS, and Liquid Chromatography-Mass Spectrometry (LC-MS) across 3 core areas.
Bachelor of Science - BS at Stephen F. Austin State University
What is Bailey Kinney's email address?
SignalHire found verified email addresses for Bailey Kinney, both business and personal. Their business email is b***********y@questdiagnostics.com, and personal emails include k***@bncollege.com, b***@yahoo.com, and k***@gmail.com.What is Bailey Kinney's phone number?
SignalHire found multiple verified phone numbers for Bailey Kinney: +1-520-***-**60, and +1-323-***-**45.How do I contact Bailey Kinney at Quest Diagnostics?
You can reach Bailey Kinney 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 Bailey Kinney's professional background?
Bailey Kinney has 6 years of professional experience. They have held roles including Sales Associate, and Cashier at companies such as The TJX Companies, Inc., and Barnes & Noble College. Their education includes Bachelor of Science - BS from Stephen F. Austin State University.Is Bailey Kinney's contact information up to date?
Yes. Bailey Kinney's SignalHire profile was last updated on 16 April 2026, reflecting their current position as Forensic Scientist at Quest Diagnostics in Secaucus, 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.
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.