The mission of CMO Computational Sciences (CCS) is to innovate new computational science that accelerates discovery in, and the practice of, molecular-driven cancer medicine. This team of experienced computational biologists catalyze institution-wide collaborative science in translational genomics. Projects focus on immunogenomics, correlative genomics in early-phase clinical trials, evolutionary analysis of disease, mutant allele discovery and validation, disease-specific and pan-cancer studies, precision disease model genomics, novel methods development, the interface of inherited and somatic genetics, the development of complex genetic signatures, and new prognostic and therapeutic biomarkers.
Capable of building strong customer relationships and delivering customer-centric solutions
A good decision-maker, with shown 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 needs
Adept at building partnerships and working collaboratively with others to meet shared objectives and goals
An effective communicator, capable of resolving 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
Able to operate effectively, even when things are not clear or the way forward is not obvious
Adept at learning quickly, applying insights from past efforts to new situations
To be considered for a Computational Biologist II, you need:
Masters of Science in cancer biology, genetics, computational biology, or a related discipline.
At least three years of experience in academic or corporate research.
Outstanding academic record.
Strong computational and programming skills, including thorough experience with the following: UNIX environment, next-generation sequencing analysis packages (e.g., Samtools, GATK), advanced programming skills, statistical packages.
Knowledge of bioinformatics concepts, methods, and tools.
Familiarity with genomic data, tools, and databases.
Ability to solve complex problems individually and as part of a team.
Strong organizational and troubleshooting abilities, attention to detail and accuracy, and outstanding oral and written English communication skills.
To be considered for a Sr. Computational Biologist, you need:
Masters, Ph.D., or equivalent in biological science, mathematics, physics, bioinformatics or related discipline with strong quantitative background. Proficiency with scientific computing software (Matlab, R) and scripting languages is required.
Solid programming skills and 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 a plus.
Able to work independently and collaboratively; making necessary connections with experts in various biological and clinical groups.
Excellent oral and written English communication skills; experience in delivering oral scientific presentations and writing scientific articles strongly preferred.
Internal Number: 2019-35048
About Memorial Sloan-Kettering Cancer Center
As one of the world's premier cancer centers, Memorial Sloan-Kettering Cancer Center is committed to exceptional patient care, leading-edge research, and superb educational programs. The close collaboration between our physicians and scientists is one of our unique strengths, enabling us to provide patients with the best care available today as we work to discover more effective strategies to prevent, control, and ultimately cure cancer in the future. Our education programs train future physicians and scientists, and the knowledge and experience they gain at Memorial Sloan-Kettering has an impact on cancer treatment and the biomedical research agenda around the world.