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Thermo Fisher Scientific

Engaged employer

Shortcomings of a business model that shows growth through technology acquisition rather than development - Product Manager Thermo Fisher Scientific Employee Review

2.0
14 Aug 2012
Recommend
CEO approval
Business outlook

Pros

Salary and benefits were decent, talented employees in non-managerial, non-leadership roles

Cons

Thermo Scientific's acquisition-based business model results in a management structure that consists of accountants and lawyers instead of technology savey leaders. This results in a growth strategy which does not focus on or reward for contributions through internal product development. Acquired companies are rapidly reorganized with new leadership that reflects the overall management philosophy of Thermo Scientific resulting in a technically below-par staff replacing qualified above-par staff. Product sales strategy emphasizes low consumer pricing rather than product quality.

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5.0
29 May 2026
Recommend
CEO approval
Business outlook

Pros

Gain much experience in GMP work

Cons

N/A at this very moment.

2.0
6 July 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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