Pros
Due to insufficient resourcing, it is possible to work on many different types of studies simultaneously. So, there is the ability to learn through experience, in a relatively short time.
Cons
Leadership is toxic and burnout is high. There is no appreciation for hard work from leadership, and there are never raises or bonuses given. Managers are overworked and training is often outdated. Data Managers are not informed or adequately trained prior to software changes being released. So there are frequent preventable “crisis” situations that arise; and resolution to problems fall on Data Managers to troubleshoot software bugs. Rather than fostering learning, Data Managers are pressured to squeeze 65 hours of work into 40 hours on a timesheet.
