| Company Overview:|
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 27th 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 2016, as well as Glassdoor’s annual Employees’ Choice Awards 2017. We’re treating cancer, one patient at a time. Join us and make a difference every day.
The mission of the Center for Molecular Oncology (CMO) is to promote precision oncology through genomic analysis to guide the diagnosis and treatment of cancer patients. The CMO brings together clinicians and scientists throughout MSKCC to conduct large-scale translational research involving molecular characterization of patient tumor specimens in order to identify correlations between genomic features and clinical outcomes.
As a Computational Biologist / Bioinformatics Analyst you will:
- Provide bioinformatics support in the development of next-generation sequencing applications to characterize the spectrum and clinical significance of genetic mutations in human tumors.
- Develop new and utilize existing software and database systems to track experimental parameters, catalyze technology development, and analyze next-generation sequence data.
- Work with experimental and computational biologists, clinical and translational research collaborators, and scientists in the MSKCC Center for Molecular Oncology.
- Design, develop, and operate computational pipelines for the analysis of next-generation sequencing data.
- Analyze data sets to discover and annotate cancer-causing genetic mutations in tumor specimens.
- Evaluate performance of novel technology platforms and assays.
- Work directly with research groups to analyze biomedical data and address scientific problems with bioinformatics techniques and tools and train researchers in the use of computational and bioinformatics tools
- Develop, refine, and improve bioinformatics tools for interpretation of large genomic data sets.
- Evaluate and test third party software packages.
- Track specimen information, experimental and analysis parameters, performance metrics, and genomic results in databases
- Manage and archive large data sets from next-generation sequencing experiments
- Participate in the establishment and maintenance of a Laboratory Information Management System (LIMS)
- Install and maintain software and data
- Maintain detailed records of all analyses
- Present results and progress updates at lab meetings and make presentations to experimental and scientific collaborators
- Attend seminars, lectures, and training courses to learn new computational biology skills to remain up to date with the cancer genomics field and learn new programming languages or techniques as necessary.
- A detail-oriented, effective communicator with an ability to build strong relationships
- An excellent problem-solver with the ability to analyze situations, draw conclusions, make recommendations and convey this information in a timely and proficient manner.
- Passionate about science and have a desire to impact cancer May lead and direct the work of others.
- Master's degree or equivalent with 2-4 years of Bioinformatics software and system development required.
- Cross-disciplinary and strong analytic skills, as well as broad experience with bioinformatics methods, databases, software, and computer programming languages are essential.
MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.
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