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The 6th Annual Genome Technology Salary Survey


You have lots of questions about your salary and perks. How hard has the rickety economy hit the life sciences? Is it safe to expect a raise? Is your paycheck right for the region you live in? Are you the only grad student who gets paid in Ramen noodles? (To that last one: Yes.)

Fortunately for you, more than 1,700 of your peers pitched in to provide the data for our sixth annual salary survey, which ought to help you figure out how you stack up compared to people with similar job titles and in similar locations.

In the data we gleaned from the 1,724 respondents who took our Web-based survey, we found that so far the gloomy economy hasn't caused major damage. The levels of reported layoffs and paycuts were comparable to those reported in last year's survey, and the numbers of people reporting raises are also in the ballpark of what we saw in 2007. Still, some of the median salary ranges slid for certain segments of our respondent population. For instance, assistant and associate professors dropped down a salary level, as did presidents/CEOs and CTOs/CSOs in pharma and biotech. But that wasn't true across the board — if you're a staff scientist, your salary most likely rose if you hail from academia or government, while it most likely fell if you're in pharma or biotech. Academic lab technicians and VPs/ directors in government or industry reported higher salaries than last year.

Following up on requests for more data, you'll find in the following pages that we included more graphs and charts this year. We included the favorites — the listing of median salary ranges by job title and organization type — and bulked up some (we added another job title to our map graphic, so now you can see median salaries for four categories of respondents by location). As usual, we kick things off with data on who answered the survey, so you can check by job title, organization type, degrees earned, years in research, and more to see that your peer group is well represented. We've also included data on promotions, raises, layoffs, and pay cuts by organization type so you can see which groups are doing best or getting hardest hit.

To see the data click here.