Bioinformatics developer needed for a NYC Startup

Organization
Stirplate
Job Location
447 Broadway
new york, NY 10014
Salary
$75-$100K
Benefits

Health/Dental/Vision

Flexible hours

Free lunch

Paid time off

Free beer

Stock options

Learning enviorment, working directly with a senior web developer

Cutting edge tools

Modern techonlogy (new laptops/desktops)

Working in one of the best co-working spaces in NY. You will be surrounded by awesome startups in NYC.

Job Description

We are looking for a bioinformatics wiz who wants to help the biologists work more efficiently. At Stirplate.io, we are building automated tools that make NGS data processing ultra simple.

You will use a variety of open source tools, such as the Tuxedo suite, R, Star and many more to build fully automated pipelines. Ideally, you have an interest in building your own as well, imagine being able to just sit and program without having an annoying post-doc asking for their data!

We are pushing the edge of cloud computing and are looking for someone who is interested in growing past what they learned in class.

Requirements

We use a mixture of PHP, Python, R and we will be dabbling into cluster computing in the near future.
Requirements
• Ability to communicate complex NGS methods in a simple to understand fashion
• 3+ years experience with NGS methods and tools (Tophat, etc)
• Experience with RNAseq, ChipSeq, DNAseq 
• 3+ years experience with R
• Python
• SQL
• Linux

How to Apply

Apply through Stackoverflow

https://careers.stackoverflow.com/employer/jobs/95762/listing

or email us your resume at [email protected] 

About Our Organization

Our goal at Stirplate is to make science better by using existing technology to get around the issues scientists have when working with data.  There are a lot of inefficiencies in science that can easily be addressed by technology and we intend on being the solution.  From NGS to gene expression analysis, scientists put a lot of time and effort fighting with inefficient analysis tools that are different to use. We are building a brand new way for scientists to analyze their data that is ultra easy to use. Our goal is to empower scientists to use their data more efficiently. 

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