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Harvard University

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Not secure and reliable career path; most positions are dead-ends - Administration Harvard University Employee Review

3.0
7 Apr 2019
Recommend
CEO approval
Business outlook

Pros

Friendly, collaborative atmosphere. Staff in other departments and offices try their best to help each other and solve problems.

Cons

Limited career trajectory, shrinking by the day. Positions are extremely competitive and are often posted with internal candidates in mind. Qualifications matter less than who knows you - so reach out and make friends and market yourself. Harvard top brass used to make gestures of respect toward the union, but unions no longer have the clout they used to, and Harvard top brass is no longer shy about laying off 20 to 30-year veteran employees without more than a few days' advance notice. If your job responsibilities expand worthy of a higher level, you won't be recategorized at a higher pay grade and your salary won't expand further than the cost of living increases negotiated by the union. Promotion-related raises seldom happen - Harvard wants to pay you less, not pay you more. Living costs are high in the area, and many long-time older employees have to share housing with roommates. It goes without saying that full-time permanent employees shouldn't have to live like students. If you want to progress in your career and income as you gain knowledge and skills, and your current job at Harvard isn't cutting it, your best bet is to pursue one of the rarely open higher positions in a different department or outside of the university. Harvard was a great place to work 10-15 years ago, and in a strong economy, you'd expect they'd offer more to employees, but instead they're offering less.

Explore other reviews about Harvard University

5.0
9 Jun 2026
Recommend
CEO approval
Business outlook

Pros

Working at Harvard as a teaching fellow is Intellectually stimulating.

Cons

Working as a Teaching Fellow is not financially rewarding.

5.0
3 Jun 2026
Recommend
CEO approval
Business outlook

Pros

You work with experts from every field possible in science from Mechanobiology to Metallurgy and working as a ML intern along with scientists from different fields gave me a lot of exposure and how to work in a research department.

Cons

One challenge encountered was maintaining a clear focus on training objectives, as the evolving parameters required continuous reassessment of the model's learning priorities. Additionally, the absence of established ground truth for the domain presented a limitation in validating and guiding the approach effectively.

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