Bioinformatics Scientist, Cancer – New York Genome Center – New York, NY

Job Description:
Position Description
The New York Genome Center is looking for a highly motivated individual to join our computational biology group. As Bioinformatics Scientist, Cancer you will be responsible for the analysis and interpretation of genomic data in oncology, a major area of interest at the NYGC. The job requires innovative problem solving in all parts of the process from sequencing to calling and understanding somatic variation, to biological interpretation, multimodal data integration and analysis of personalized treatment options. Collaboration with other members of the computational biology team as well as external collaborators and customers is paramount. Publication of developed methods and scientific findings is encouraged.

Job duties will include, but are not limited to:
Assist in maintenance and improvement of next generation sequencing data analysis pipelines;

Analyze sequencing data using established workflows;

Develop and apply innovative sequence data analysis and data integration approaches for oncology when off-the-shelf methods are not adequate;

Assist, collaborate, and consult with internal/external researchers on analysis of genomic data;

Interpret and present analysis results to coworkers and collaborators;

Publish results in scientific journals and give presentations at conferences.

Required Skills

PhD. in bioinformatics, computational biology, genetics, computer science or similar;

Experience in cancer genomics, as demonstrated by publications in high impact journals;

Proficiency using the standard suite of bioinformatics tools (aligners, callers, etc.);

Proficiency in utilizing data from public resources such as TCGA or COSMIC as part of data analysis or methods development. Participation in TCGA, COSMIC, etc. projects is a big plus;

Proficiency in R/Matlab, and scripting languages such as Python/Perl/Ruby;

Experience working in Linux and running tasks in a cluster environment (e.g. SGE);

Experience or training in statistics or machine learning preferred;

Experience working in teams centered around a biological question and with external collaborators;

Excellent written and verbal communication skills.

Required Experience

Skills :

• Bioinformatics
• Biology
• Computational Biology
• Genetics
• Machine Learning
• Next Generation Sequencing
• Statistics

Areas :

• Bioinformatics
• Computational Biology

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