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Thermo Fisher Scientific

Engaged Employer

good starting point - Lab Technician Thermo Fisher Scientific Employee Review

3.0
Nov 16, 2012
Recommend
CEO approval
Business Outlook

Pros

-known company in the industry -advancement opportunities -will train you

Cons

-will only train you if you keep bugging them -will really do stuff for you if you constantly keep bugging them (IT took about a month to set up an email ) -managers pay little attention to the work ethics of individuals and good work is rarely recognized by anyone above mid tier management

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Thermo Fisher Scientific Response
9y
We appreciate your feedback and agree that there are many advancement opportunities within the company. Our company emphasizes continuous improvement strategies and believe that our leaders take pride in their ability develop and nurture talent. Many employees have found success with our mentoring program.

Explore other reviews about Thermo Fisher Scientific

5.0
May 29, 2026
Recommend
CEO approval
Business Outlook

Pros

Gain much experience in GMP work

Cons

N/A at this very moment.

2.0
Jul 6, 2026
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

Since the company is big, it's a great opportunity for networking, learning new skills, and earning certificates after completing hazard safety training that you can use in the future as well (especially if you're working with Unity Lab Services). Coworkers are usually nice and will always lend a hand if you need it. If you're lucky, you might be placed at a one-person site where the site supervisor is chill and understanding, lets you work at your own pace, and helps you learn new things by giving you "side quests."

Cons

No real career growth. The workload can be hard to keep up with at times, and the company strictly enforces an 8-hour workday with no overtime, even when needed. Day-to-day operations feel heavily micromanaged by upper management through strict policies. HR introduces new policies almost monthly, often adding tasks that feel unnecessary. They frame this as becoming "more data-driven," but in practice, it hasn't led to much noticeable improvement.

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