The New York Genome Center is looking for a highly motivated individual to join our computational biology group. As a Lead 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 expected. Identification and application for cancer analysis grants relevant to NYGC’s mission is encouraged. The Lead Bioinformatics Scientist is expected to contribute as an individual but may also be asked to manage a small group working on cancer research.
Job duties will include, but are not limited to:
- Develop and improve next generation sequencing data analysis algorithms and 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;
- Provide biological interpretation of cancer genome analyses;
- 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;
- Manage and mentor junior team members;
- Identify funding opportunities and apply for grants relevant to NYGC’s cancer genomics research.
This role is not a Faculty position, it is part of our Computational Biology group.