(Me, with chickenpox spots

Bioinformatics MIT

The HST and i2b2 Bioinformatics and Integrative Genomics program (BIG) introduces participants to the intersection of quantitative and biomedical sciences, providing them with broad knowledge of clinical relevancy as well as specific skills in the information science of genomics. BIG brings together nationally recognized leaders from the basic biological sciences, computer science, genomics, bioinformatics and epidemiology. Undergraduate students interested in pursuing a career in bioinformatics and genomics are eligible to apply to the nine week Summer Institute in Bioinformatics and Integrative Genomics.

Program Description

From a base on the Cambridge, Massachusetts MIT campus, students attend lectures and perform research at HST and Harvard-affiliated institutions. The program combines didactic lectures in informatics and genomics, clinical case studies and a mentored research project to expose students fully to the exciting world of genomic research. Participants learn skills fundamental to the task of extracting information from the huge amount of data produced by the international Human Genome Project by working with the various tools and databases now available.

As part of the Summer Institute, participants also receive guidance through individual tutorials and workshops on preparing and presenting research findings. At the end of the summer, participants present their work to the Bioinformatics mentors at a conference. In addition, summer participants discuss responsible and ethical ways to conduct research.

A partial list of program elements includes:

  • Participation in exciting research projects
  • A bioinformatics and integrative genomics course taught by national leaders
  • Medical Case Study presentations by Harvard Medical Scoool physicians and researchers
  • Instruction in technical communications designed to improve written and oral presentation skills
  • Guidance on choosing graduate and/or medical school programs
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I graduated in applied math

by MarkTJS

Waste of a degree for directly finding a job (unless you're smart and unlazy -- I'm neither), but employers seemed to like the fact that I had the analytical foundation.
You can do programming (I'm a db programmer) or analysis, but it's best to get some experience in a particular field. A math degree alone isn't as good as a math degree with statistics, economics, accounting, business, biology (bioinformatics) for most of the jobs out there.
If I could do it all over again, I'd skip the applied math (physics), and do straight math with a minor in statistics. Then I would have learned some SAS.
-Mark

What's more valuable in computer industry?bioinf

by Jibberboosh

Hello,
I will be attending a new university [UCSC] starting this fall and since I have only 2 years left for my bachelors I need to come up with a game plan. Basically, it’s between getting a degree in computer science with a minor in bioinformatics, OR getting a degree in c.s. and then going straight for master. What do you think is valued more by the employers? If I go for the masters what concentration would be the best? I was thinking either system programming or multimedia. Same thing with a minor, what is in demand right now?
P.S. I know there are a lot of people who believe the computer science field is dead and all jobs are getting shipped off to India; assume that I’m not changing my major, simply because I’m a die-hard computer geek.
Thank you in advance.

And a cheesespread too!

by laserfrog

In practice, biotech jobs mostly involve the transfer of small volumes of water containing minor chemical contaminants precisely and accurately from one container into another.
Such jobs may also involve computer use and programming, public speaking, the reading and interpretation of research literature, writing, and the babysitting of electronic equipment and other hardware. A history degree could be good intellectual groundwork for a career in this field, given that 'biotech' grows out of the exploration of organisms that are essentially the outcomes and living records of millions of years of trial and error historical-biological events

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