Computational Biologist I

Memorial Sloan Kettering - New York, NY4.2

Full-time
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 28th year, MSK has been named a top hospital for cancer by U.S. News & World Report. We are proud to be on Becker’s Healthcare list as one of the 150 Great Places to Work in Healthcare in 2018, as well as one of Glassdoor’s Employees’ Choice Best Place to Work for 2018. We’re treating cancer, one patient at a time. Join us and make a difference every day.

Job Details:
Job Details:
The core mission of the computational division of The Center for Epigenetics Research is to leverage genomic and epigenomic data to provide novel insights into cancer epigenetics, and to communicate these results to multidisciplinary teams of basic and translational scientists, clinicians, and group leaders. This is accomplished through the integration of gene expression, chromatin structure, and sequence variation with clinical data and experimental animal models, with the goal of understanding, predicting, and gaining therapeutic insight into the epigenetic components of tumorigenesis.

The bioinformatics scientist will be responsible for the processing and analysis of next-generation sequencing data, as well as building and managing custom pipelines. He/she will utilize existing tools and software packages while also tailoring them to meet specific project goals. In addition, this person will be responsible for interacting with a team of computational biologists, members of the Center, and external scientists and collaborators.

Requirements: Master’s degree or equivalent in bioinformatics, computer science or related field. Ability to maintain detailed records of all analyses and to communicate findings in a clear and concise manner.

Qualifications:
Systematic approach with analytical reasoning and problem solving skills to develop and modify analysis pipelines
Proficient in scripting languages (Perl or Python)
Familiar with UNIX/Linux environment
Knowledge of publicly available bioinformatics software tools, with an emphasis on Next-generation sequencing toolkits
Experience with R
Knowledge of C, C++, or Java
Familiar with basic biological principles
Knowledge of basic probability and statistics
Excellent verbal and written communication skills to contribute to a multi-disciplinary team and to provide technical expertise and advice to researchers and other software/bioinformatics engineers
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