Ask Slashdot: Which Ph.D For Work In Applied Statistics / C.S.?
New submitter soramimo writes "I'm currently a Ph.D student in Machine Learning and Biology at a pretty good European university. As my lab is moving to the U.S., I have the chance to get my Ph.D from an Ivy League university instead of the one in Europe (without much additional work, as I'm close to finishing). However, I would be getting a Ph.D in Biological Sciences rather than Computer Science. As I'm planning to work as an applied statistician / computer-scientist / analyst in the U.S. after graduating, I'm wondering which path to take. Is a Ph.D in Biological Sciences frowned upon by technology companies, or is it out-weighed by the Ivy League tag? How big of a role does the type of Ph.D play in the hiring process in the U.S., compared to what you actually did (thesis focus, publication record, software)?"
In the world of business, what you did is much more important. Your experience and actual outputs are far more important then the kind of Ph.D you have.
Employers will care about what you did more than what your degree is named. There are lots people working in fields that don't correspond to the subject-name of their PhD degree.
If it weren't for deadlines, nothing would be late.
You're hiring a someone to be a computer scientist. Would you rather see them have a CS degree or a biology degree? Ivy League degree or Pretty Good European University? I think everyone is going to look at this differently. I know *I'd* rather see the CS degree. I wouldn't be overly impressed by Ivy League but I think a lot of others would be. I work in the the tech field along with people who have degrees in unusual areas (Dance?) but are technically top notch.
BTW, these days it seems a lot of resumes are searched for key words. If they're hiring a computer scientist - guess what keywords they're going to look for?
Bio-informatics is a good place to be an applied statistician. There are also good opportunities in neuroscience, especially if you want (or are willing to) do experiments. Some of the data analysis and acquisition code is pretty sophisticated, and a grad student from my last lab got a good CS job by doing that. Further, any lab that uses super-resolution or EM microscopy is a good place to look. If you tell me which school, I can perhaps give you a few names.
He once inserted random mutations into his code, just so he could have the experience of debugging.
In my experience, the employers that really want Ph.Ds are educational and research institutions, and the odd technology company that wants to have some additional buzzwords to put on slides. It doesn't really add much for a technology company, unless your area of study is very specific to their business area. I'm kinda scared of any place that would do hiring based upon a degree or where it came from rather than what the person can actually do.
In my experience when the lab moves the students either (1) get a degree from old university or (2) apply to new university and go through the qualification process over. I would check again, before assuming it is your decision. I even know a case, where a 3rd year grad student at Yale was turned down acceptance into Berkeley grad school
Most of the Biopharmaceutical companies in the Boston area are going to look at your Ph.D. to determine whether it is relevant to the work they do. But it won't be the only thing they look for.
Many biopharms are leaning very heavily on computer simulations to model various molecules they are pursuing as potential drug candidates. Having a an advanced degree in biology and the ability to prove strong computer skills might open vastly more doors for you than just having a Ph.D. in a relevant field. Having a programmer who can also intimately understand what the scientists are trying to accomplish is desperately needed by many companies.
But don't sell yourself as a programmer with a doctorate in biology. Rather, sell yourself as a biology doctorate with advanced computer skills. If they think you are a programmer, they'll treat--and pay--you like one. Sadly, there are still WAY too many CEOs (and CIOs, CFOs, and COOs) who are still under the 1980's notion that "high school kids could do this work," and treat computer engineers like they are unskilled labor. As a "respected scientist" you'll be treated far more appropriately by management/business types.
Whew! This water sure is cold!
Why would you think that a PhD in Biological Sciences would be closely related (or even related) to one in Computer Science? Really?
The intelligence of PhDs really are Piled Higher and Deeper.
Biological Sciences have a lot of need for Computer Sciences right now. Everything from Genetics to Molecular Biology spends on staggering amounts of Statistics and CS work. I have a few friends of mine working for the National Health Institute and at Medical Schools and they all need CS and Stats background. So there is a pretty deep connect between Biology and CS right now. So yes, there is a very close relationship.
Obviously, a software firm may ask you why you got a Biological Sciences Ph.D. as opposed to a CS one, and why you are qualified. You may also get filtered out if CS is not on your resume as well. So, if you do get the Ivy Ph.D. you'll have some work cut out for you on your resume to make sure you come off the right way on paper.
Also, if you end up working for a Bio Tech, then this argument is moot, they would take a Biologist any day of the week.
From my experience in semiconductor manufacturing, technology companies frequently hire individuals with degrees and areas of research that deviate from the core function of the business. Be prepared to discuss the details of your research and work while pursuing your degree and you will do fine.
Many of the skills utilized in your education are common across job fields and in some cases they are not utilized as often as they should in the work place. Some examples include...
- The scientific process itself. A sound decision process is key to problem solving within technology businesses and all too often mistakes are made by "gut feeling" or "common sense" decisions that are followed far too quickly without proper critical thinking.
- Understanding statistical significance and proper reading or presentation of statistical data. This is a hugely critical field to technology companies and at the same time a massive weak point in U.S. businesses. In my opinion there should be some basic statistics courses in K-12 education.
- Working in groups. U.S. corporations spend millions in consultant and training fees trying to instil some group working skills into employees but from what I have seen it is very difficult, and in some cases impossible, to teach people to set aside their individualistic wild west cowboy mentality.
- Communication and presentation skills. Meetings are frowned upon, partly due to the lack of group work skills, yet they are also necessary. You will quickly lose an audience that already doesn't want to be there so you need good communication skills to both keep the attention of individuals but also to transfer the information and knowledge effectively.
There are many more, of course, but these are just a few that come to mind.
Bioinformatics seems to have an especially even spread of people over the continuum from comp sci to biology, so (from what I have seen) readers of C.V.s tend to focus on work and publications to figure out where you fall.
We have a bioinformatics PhD where I am, which is half biology, half CS. Maybe you didn't read the part where he mentions machine learning which is decidedly computer science.
The Lead systems guy on WoW (Greg "Ghostcrawler" street) is a PhD in marine biology, so it's clear you can move around easily enough. You can simply omit the Biology part and say "PhD from Ivy league school, thesis: Machine Learning for ....".
My PhD is decidedly CS, but it steals a lot of stuff from strategic studies and economics, so just by the title, it's not really possible to know which field is the 'core' area.
Biological Science. Any scientist these days is going to have to be proficient with computers and analyzing data. In fact, you'll probably be doing much more statistics and number crunching in biological science than in PhD level computer science, which tends to be in some theoretical study less focused on crunching of numbers. And biologist just commands respect. There's just no similar honorary title for computer scientist, and although PhD is different, it's hard to not associate CS with a factory-like undergraduate program, churning out low-skilled CS majors.
Some of the finest people I've worked with in software have degrees distantly related to computer science, math, or software engineering. Music, religion, "interdisciplinary studies", and an accounting dropout are included in that mix. They are right to pish-posh it away. Actually, as an art person, you wouldn't happen to live near Phoenix, know Java well, and be interested in working on GIS applications for remote sensing, would you? We have a good product that probably could use a techie with an art background to improve its UI.
Just choose one at random.
I have been actively hiring PhDs to do analytics work for financial services for the last two years. We primarily use machine learning techniques to develop risk management tools. We prefer the applicants to have a PhD, although industry experience can make up for the lack. In general, however, we do not specify that the PhD come from a specific field. Indeed, we have a bio-informatics PhD in our group, and we have interviewed several others. I myself come from a physics background, and others came from engineering, cognitive science, etc. We like to interview candidates who have experience in machine learning or computer science, but even those without such experience are considered if they have shown strong analytical skills during the course of their research.