Decent Salary, Great Benefits! - Recensione dipendente - Staff Assistant III presso Harvard University

4,0
30 mar 2010
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Great benefits package. 15 vacation days + 3 personal days (18 total) to start! After 5 years of service, earn 20 vacation days, plus personal days, per year. Great discounts on Harvard courses - take Harvard Extension School courses for $40 each (currently) - up to two per semester (spring, fall, and summer). I don't know what will happen in this economy, but there have been up until summer 2009 great yearly pay raises (4 to 5 %) - negotiated by the Harvard Clerical and Technical Workers Union. A lot of professional career-development and skills-development trainings and workshops. An environmentally friendly environment.

Svantaggi

For some, the salary may not be as high as could be earned elsewhere. Harvard, surprisingly, will not give free tuition to the children of its employees!

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5,0
25 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

A PhD is always very advisor/PI dependent, but I had a great experience with room to learn, grow, and explore interesting research questions. As with any PhD program you’ll work pretty hard for relatively lower pay and perhaps less directly applicable industry career trajectory at the end, but if you find good people to tackle the journey with and get to work on interesting problems I personally think the journey is worthwhile!

Svantaggi

Less of a program wide cohort in my particular engineering field. Some funding challenges with the govt last year but seem mostly back now, apart from the recent administration issues funding wasn’t generally a challenge

5,0
3 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

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.

Svantaggi

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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