Are you curious about developing and applying bioinformatic quantitative methods to solve problems? We need you! We are searching for an outstanding computational scientist. You will be focused on and dedicated to translational science, be an innovative thinker, outstanding communicator, enjoy working with an interdisciplinary team and bring intellectual and analytical processes to your work.
The Innovation Laboratory is a group of experimental and computational scientists dedicated to the creation and optimization of genomic assays for near-term clinical use. Active areas of research include ultra-deep sequencing of circulating cell-free DNA from plasma and other bodily fluids, optimization of DNA and RNA capture techniques, molecular profiling of challenging clinical samples (FFPE tissue, small biopsies, cytological specimens), integration of somatic and germline genomics, novel biomarker discovery, proteogenomics, and applications of multi-omic data integration.
Capable of building collaborative relationships and working with others to meet shared objectives and goals
A good decision-maker, with proven success at making timely decisions that keep the organization moving forward
Effective at working when presented with sophisticated and sometimes contradictory information
Able to consistently achieve results, even during fast paced circumstances
Organized and can prioritize work to meet commitments aligned with interpersonal priorities
Able to recover from setbacks and skilled at finding detours around obstacles
A quick learner, and able to apply insights from past efforts to new situations
Work in concert with the Innovation team to provide support to research projects
Design, develop, and implement software tools for processing and analyzing high-throughput next-generation sequencing data
Provide one-on-one consultation and training to research, bioinformatics scientists, and software engineers
Conduct independent analysis and interpretation of genomic and other multi-omic data generated by the group
Facilitate collaborations and research opportunities with scientists and clinicians at MSK
Experience in biological science, physics, applied mathematics, computer science, bioinformatics, or a related field
Solid programming skills and proficiency with scientific computing software and scripting languages
A detailed understanding and experience in statistics
Experience in statistical genetics/genomics and a familiarity with next-generation sequence data and analysis tools
To work both independently and collaboratively and make vital connections with experts in various biological and clinical groups
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.