[Baypiggies] Tech Talk at Counsyl (7/18)

Justine Lam justine.lam at counsyl.com
Mon Jun 24 19:11:15 CEST 2013

I forgot to mention that Counsyl is a Python/Django shop. For our
genomic analysis we use scientific libraries like SciPy and NumPy.

Here's a full software engineering job description:

On Mon, Jun 24, 2013 at 9:47 AM, Justine Lam <justine.lam at counsyl.com> wrote:
> "How I Learned to Stop Worrying about Big Data and Love the Data That
> Actually Counts - Counsyl Tech Talk"
> http://genomicsbigdata.eventbrite.com
> The cost of sequencing human genomes is plunging - 5x faster than the
> cost of computing.  The potential impact on preventive healthcare and
> the medical landscape is boundless.  The science is there but the
> scale isn't.  That's where Counsyl comes in.  We are building the
> technology platform to make genomics useful and accessible to
> everyone.  We hope you will join us on Thursday, July 18, from
> 7:00-9:00pm for our Tech Talk on How I Learned to Stop Worrying about
> Big Data and Love the Data That Actually Counts.
> We look forward to hosting you at our newly renovated 60,000 square
> foot space in South San Francisco - oh and of course there will be
> food, drinks, and networking!
> We hope to see you there!
> RSVP here: http://genomicsbigdata.eventbrite.com
> Date: 7/18/13 at 7pm
> Location: Counsyl HQ, 180 Kimball Way, South San Francisco, CA
> Talk Abstract:
> "How I Learned to Stop Worrying about Big Data and Love the Data That
> Actually Counts."
> Imran Haque, Director of Research, Counsyl
> A single current DNA sequencer can produce 540GB of raw data in a few
> hours -- without even covering an entire human genome. So, obviously,
> genomics must be a big data science.
> In this talk I will deflate two pernicious myths: that "Big Data" is
> where all the action is, and that genomics is Big Data. I will explain
> why genomics, as practiced both in the clinic and in research, is
> distinct from other areas usually used to define "big data". In
> particular, a dearth of outcomes data means that interpretable regions
> of the genome are tiny, while the rest is all sequenced up with
> nowhere to go. I will further argue that despite this, genomics is one
> of the most interesting current areas of computer science and
> engineering, and is likely to be the latest wellspring for new
> innovations across the stack from architecture to AI.
> Justine Lam
> Counsyl
> We're hiring! jobs.counsyl.com

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