A post-doctoral position is available to develop methods and data resources for R / Bioconductor to integrate complex, heterogeneous, and large cancer genomic experiments. This National Cancer Institute-funded project is a collaboration between Bioconductor team members at Hunter College (a senior college of the City University of New York), Harvard Medical School, Johns Hopkins Bloomberg School of Public Health, and the Fred Hutchinson Cancer Center. This position
will focus on development of data structures and methods for multi-assay genomic experiments, and on curation and analysis of major public cancer genomics experiments including The Cancer Genome Atlas. The position is available starting February 1, 2015 and the search will continue until filled.
The position will be located at the new School of Urban Public Health campus at 119th Street and 3rd Avenue in East Harlem, Manhattan. The fellow will work directly with Dr. Levi Waldron, Assistant Professor of Biostatistics, and in collaboration with a multi-institution team of Bioconductor developers. Levi Waldron is member of the Center for Translational and Basic Research (CTBR), which is a key partner in the Clinical and Translational Science Center, an enterprise that also includes the Weill Cornell Medical College, Memorial Sloan-Kettering Cancer Center, the Hospital for Special Surgery and the Hunter-Bellevue School of Nursing. The post-doctoral fellow will have access to extensive library and computational resources, including the CUNY High Performance Computing Center and a brand-new cluster computing facility currently under construction by the CTBR.
* Developing Bioconductor methods and data resources for the analysis of multi-assay genomic studies of cancer.
* Analysis of major public cancer genomics experiments, including The Cancer Genome Atlas.
* Dissemination of work through conference presentations and journal articles.
Applicants should have a PhD in bioinformatics, biostatistics, statistics, computer science, systems biology, or a related
discipline. Strong knowledge of programming and of genomic data analysis using R/Bioconductor is preferred. The ideal applicant will work well in a collaborative development environment involving regular conference calls with national and international collaborators, and will participate in distributed software development using Github.
Please provide a cover letter and CV, with contact information for references, with the application. Position comes with the full CUNY Research Foundation benefits package.
The position is available from February 2015 onward. Applications are under immediate review and will continue until the position is filled.
Please submit applications at https://rfcuny.org/hr/pvn/cgi-bin/show_job.asp?pvn=REA-1776, or contact firstname.lastname@example.org with any questions.