Bioinformatics Software Developer

Icahn Institute for Genomics and Multiscale Biology
Job Location
255 Fifth Avenue, Suite C2
New York, NY 10029
Job Description

We are seeking 3 talented, motivated, and passionate individuals to develop bioinformatics software as part of the Cancer Genomics and Clinical Genome Informatics groups. The ideal candidate will have experience on back-end and hands-on development of applications,services and pipelines for clinical next generation sequencing data processing.
•Database integration: compilation and integration of the bioinformatics resources used to analyze different types of cancer datasets.
•Data analysis:  exploring different tools/packages which are used for clinical next generation sequencing data analysis(Clinical information)
•Collaborate with internal technical team or external partners in understanding requirements for tools development to enhance workflow efficiency and robustness


Develop functional and appealing web- applications based on usability
Build reusable code and libraries for future use
Ensure the technical feasibility of UI/UX designs
Optimize application for maximum speed and scalability
Assure that all user input is validated before submitting to back-end
Maintain graphic standards and branding throughout the product’s interface
Promote usability best practices

Basic skills:
.Master degree in computer science 
.2 + years’ relevant work experience as a Software Engineer
.Must be able to work in a fast-paced start-up like environment
.One or more years’ experience with python, C, Java or C++ 
.2+ years’ experience with RDMS and/or NoSQL document-based data stores
.RESTful Web Services using JSON
.Tomcat, JBoss or GlassFish
.Version control and source code management systems (e.g. Git, SVN)
.Batch scheduled high throughput computing using queuing systems (e.g. SGE or LSF)
.Unix / Linux and VM environments
.Functional Programming
.Issue & Project Tracking (e.g. JIRA)

How to Apply
About Our Organization

The vision of the Icahn Institute at Mount Sinai is to integrate the digital universe of information to better diagnose and treat human disease. While other institutions focus primarily on genomics, systems biology, or data analytics, we’re uniquely dedicated to an integrated and holistic view of biology as the path to dramatic improvements in healthcare and disease prevention.  We harness the power of “Big Data” and sophisticated analytics to build predictive biological network models that offer novel insights on disease. We seek to apply these models in a clinical setting to improve diagnosis and treatment for our patients.

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