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BACKGROUND

Description: The mission of the Marie-Josée and Henry R. Kravis Center for Molecular Oncology is to promote "precision" oncology through the expansion of genomic analysis for the diagnosis and treatment of cancer patients. The CMO strives to cultivate an environment of team science by bringing together scientists and clinicians with diverse expertise who are committed to translating novel molecular insights into maximal clinical benefit.

RESPONSIBILITIES

As a Bioinformatics Engineer, you will be involved in the design, development and maintenance of computational pipelines in the center. This will involve end-to-end processing that integrates existing tools as well as development of custom methods for data mining, annotation and analytics. To be successful you should have advanced programming skills, in particular significant knowledge of parallel computing techniques and experience with good coding practices and software design.

In this role you will work with computational and experimental biologists in a dynamic and exciting academic environment at the nexus of cancer biology, computer science, statistics and clinical research.

REQUIREMENTS

Required Qualifications:

Bachelors in a quantitative field of study.
Masters in Computer Science, Bioinformatics or related quantitative discipline.
Advanced skills in Python or Java
Experience in software engineering tools and methods

Desirable experience:

Experience in Bioinformatics software development
Prior work with next-generation analysis toolkits (PICARD, GATK, samtools, etc.)
R/Bioconductor experience
Relational databases (e.g. Oracle, MySQL) and/or noSQL database systems
Parallel computing: in particular, experience with scheduling systems such as SGE/LSF/Torque

TERMS

Duration: Full Time

HOW TO APPLY

Via website and email bic-recruit[at]cbio.mskcc.org. Please include #BSE2016 in the subject line.

Url: bit.ly/298HJh1

Discussion forums: Opportunity: Bioinformatics Engineer -- Center for Molecular Oncology (#BSE2016) @ Memorial Sloan-Kettering Cancer Center -- New York, NY (US)

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