Memorial Sloan Kettering Cancer Center – Bioinformatics Engineer : New York, NY, United States

Job ID: 583827
Job date: 2016-06-21
End Date:

Company : Memorial Sloan Kettering Cancer Center 

Country :

Role : Research Scientist 


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Job Description:
Company Overview: At Memorial Sloan Kettering (MSK), we're not only changing the way we treat cancer, but also the way the world thinks about it. By working together and pushing forward with innovation and discovery, we're driving excellence and improving outcomes. For the 26th year, MSK has been named a top hospital for cancer by U.S. News & World Report. We're treating cancer, one patient at a time. Join us and make a difference every day. Job Description: Bioinformatics Engineer for the Immunogenomics and Precision Oncology Platform (IPOP) The Immunogenomics and Precision Oncology Platform (IPOP) is a newly established program at MSK.IPOP is dedicated to developing precision immunotherapy at MSK. The program's goal is to use state-of-the-art approaches to unravel the molecular determinants of response to immunotherapy and to optimize immunotherapeutics such as immune checkpoint inhibitors and neoantigen-based vaccines using large scale analyses. The Bioinformatics Engineer 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. The successful candidate should have advanced programming skills, in particular significant knowledge of parallel computing techniques and experience with good coding practices and software design. Examples of responsibilities include: • Play an active role as an investigator in exciting immuno-oncology research projects • Develops, maintains, and expands functionality of existing and to be developed bioinformatics software tools • Installs necessary and relevant bioinformatics software • Stays current with general bioinformatics tools and installs/runs tools as needed (genomics, proteomics, other bioinformatics tools) • Works to develop web-based visualizations of immunotherapy datasets He/She 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. Required Qualifications: • Bachelors in a quantitative field of study. • Masters or PhD in Computer Science, Bioinformatics or related quantitative discipline. • Parallel/High-performance computing experience • Advanced skills in Perl or Python • Experience in software engineering tools and methods • Strong knowledge of bioinformatics algorithms, statistics, and software tools • Prior experience with analyzing "omics" data (especially proteomics, but also next gen sequencing, RNA-Seq, ChIP-Seq, etc.) Desirable experience: • Experience in Bioinformatics software development • Prior work with next-generation sequencing analysis toolkits (PICARD, GATK, samtools, etc.) • R/Bioconductor experience • C/C++, Java programming • Relational databases (e.g. Oracle, MySQL) and/or modern noSQL database systems. • Familiarity with proteomics data analysis (such as Mascot, MaxQuant, Sequest, X!Tandem, etc.) This position requires cross-disciplinary and strong analytical skills as well as broad experience using computational methods, databases, software and hardware. Please submit CV/materials to chanlabspringpostdocapps@gmail.com Memorial Sloan-Kettering Cancer Center is an equal opportunity employer with a strong commitment to enhancing the diversity of its faculty and staff. Women and applicants from diverse racial, ethnic and cultural backgrounds are encouraged to apply


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