[R-jobs] R-focused Software Engineer at Sage Bionetworks

Mike Kellen m|ke@ke||en @end|ng |rom @@geb@@e@org
Wed Jul 24 01:07:47 CEST 2013


Do you want to change how scientists approach basic and clinical life
science research and change how pharmaceutical companies develop cures for
diseases? Sage Bionetworks <http://www.sagebase.org/> is a medical research
organization dedicated to building advanced predictive models of human
diseases.  Our primary objectives are two-fold: to build and support an
open access platform and databases for building innovative new dynamic
disease models; and to interconnect scientists as contributors to evolving,
integrated networks of biological data.



We currently have an opening for a Software Engineer to join the team
responsible for the design, creation, testing, and deployment of the Synapse
software infrastructure <http://synapse.sagebase.org/>*.* The Synapse
system will provide scalable access to clinical genomics data and compute
resources to scientists at Sage and around the world. This is an
opportunity to work on a software platform with significant impact on human
health research, and to work in a fast-paced entrepreneurial environment.  The
position will focus on the development of Synapse���s client-side
integrations with data analysis tools including R and Python.  Ability to
work on cross-functional teams supporting scientific end users in the use
of Sage informatics tools is expected.



*Requirements*

���      BS or MS in Computer Science or equivalent

���      Experience building, shipping, and supporting commercial or academic
software products with significant user bases. Proven experience developing
new products in rapidly changing engineering environment strongly preferred.

���      Versatile and strong programming skills with the ability to work
with a variety of programming languages, with a focus on R, Python, and Java

���      Strong understanding object oriented design and programming, and
design patterns

���      Experience developing software tools used by scientific user
communities.  Background in data analysis, machine learning, and statistics
is highly beneficial.  However, the position is a software-engineering
focused position designed to develop tools and support a scientific user
base, not a scientific research position.

���      Experience with

���    Unix/Linux

���    Web services, SaaS, and distributed system architectures

���    Cloud computing offerings especially AWS

���      Practical agile development lifecycle experience.  Familiarity with
software development tools (Eclipse, Jira Studio, Maven, Git etc.)

���      Strong verbal, written, and organizational skills

���      Ability to thrive in a dynamic start-up environment, and collaborate
on evolving research projects

���      Self-starter with the ability to multitask

���      Experience with one or more of the following desirable:

���    Bioinformatics data, machine learning, statistics

���    Open source software development



Sage offers a comprehensive benefits package, including relocation
benefits, to bring the right talent to the team. To apply, please forward
your CV and cover letter to: sw.jobs using sagebase.org.


-- 
Michael Kellen, Ph.D.
Director, Technology Platform and Services
Sage Bionetworks
206-667-1118

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