Memorial Sloan-Kettering Cancer Center Sr. Computational Biologist I in New York, New York
Sr. Computational Biologist I
Job Posting Number: 20055
Research – Laboratory
March 5, 2018
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.
The Schultz laboratory in the Center for Molecular Oncology at MSKCC is searching for an outstanding computational biologist with a strong interest in developing and applying bioinformatics methods to problems in translational cancer biology.
The candidate should have a solid background in both bioinformatics and cancer biology. The candidate will interact with investigators with expertise in computational biology, translational therapeutics, and molecular pathology among others. The candidate will collaborate with other members of the laboratory as well as with collaborators in other groups and work on the analysis of cancer genomics data.
The focus of this research work is the integrative analysis of high throughput genomic data. The goal is to identify the mutational programs and pathways implicated in disease and treatment response phenotypes and to identify novel therapeutic targets. Projects focus on population-scale clinical genomics, immunogenomics, high-throughput characterization of cell-free DNA, intratumoral and inter-patient heterogeneity, and many others. The ideal candidate will have a focus on and dedication to translational science, be an innovative thinker, exceptional communicator, enjoy working with an interdisciplinary team.
Capable of building strong collaborative relationships
A good decision-maker, with proven success at making timely decisions that keep the organization moving forward
Able to work effectively in an environment notable for complex, sometimes contradictory information
Consistently achieving results, even under tough circumstances
Adept at planning and prioritizing work to meet commitments aligned with organizational
Adept at building partnerships and working collaboratively with others to meet shared objectives and goals
An effective communicator, capable of determining how best to reach different audiences and executing communications based on that understanding
Resilient in recovering from setbacks and skilled at finding detours around obstacles
Adept at learning quickly, applying insights from past efforts to new situations
To be considered for this position, you need:
Master’s, Ph.D., or equivalent in biological science, mathematics, physics, bioinformatics or related field with strong quantitative background. Proficiency with scientific computing software (Matlab or R) and scripting languages is required.
Extensive research experience in the biological sciences. A thorough understanding and experience in statistics is strongly preferred.
Research experience in statistical genetics/genomics strongly preferred and a familiarity with next-generation sequence data and analysis tools is required.
Must be able to both work independently and collaboratively; making necessary connections with experts in various biological and clinical groups.
Highly motivated with excellent oral and written English communication skills; experience in delivering oral scientific presentations and writing scientific articles strongly preferred.
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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