The Gumus lab at the Icahn Institute for Genomics & Multiscale Biology at the Mount Sinai School of Medicine is seeking talented, ambitious individuals to work in cancer germline genetics. The study is at the interface of cancer epidemiology and cancer genomics. You need to be comfortable in scripting and running pipelines in a high performance computing environment, as well as visualizing and communicating your results. While you will lead the projects you are working on, the work is highly interdisciplinary, with direct interactions with experts in computational genomics, statistical genomics, software engineering, data visualization, as well as basic and clinical research laboratories in a regular basis.
The ideal candidate has the following skills. Applicants with deep experience in related fields are also encouraged to apply. Compensation will be based on background and experience.
Deep experience in analysis of next-generation sequencing data (exome-sequencing, whole-genome sequencing, wtc)
Experience in cancer epidemiology and cancer genetics.
Experience in programming related to next-generation sequencing
Experience in network biology, statistical learning, machine learning, etc is a plus
Excellent programming skills in R, C, C++, Javascript
Ability to learn new skills and concepts
Excellent oral and written communication skills
Ability to work independently and within a team effort
Degree in computer science, bioinformatics, computational biology, or related field.
If interested, please send CV and cover letter that includes brief description of previous work to zeynep.gumus AT mssm.edu
