Memorial Sloan-Kettering Cancer Center Senior Computational Biologist - CMO Innovation Lab in New York, New York
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.
Are you passionate about collaborating with a team of clinicians and scientists at Memorial Sloan Kettering Cancer Center?
Then join us here at MSK, where we can provide you with the opportunity to make a difference with your career. The Innovation Laboratory is searching for an outstandingSenior Computational Biologistwith a strong interest in developing and applying bioinformatic/quantitative methods to problems in translational cancer biology. We believe that this is an exciting role for someone who has the right background to be apart of our dynamic team and who wants to apply their skills to support our mission here. The Innovation Laboratory within the CMO 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
Single-cell genomics applications
The goals of the Innovation Laboratory are:
Develop and validate genomic assays and associated computational pipelines for the molecular characterization of human tumors,
Evaluate new technologies for potential clinical utility,
Pilot new technologies in collaboration with clinical and translational investigators, and 4) to work with clinical laboratories to ensure quality standards mandated by CLIA. New clinical assays will be deployed both retrospectively to discover biomarkers that track with therapeutic response, and prospectively to inform treatment decisions and guide patients to promising clinical trials.
A skilled mentor who will serve as a subgroup team lead for Innovation bioinformatics
Capable of building strong 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 your own work and that of your team moving forward
Effective at working when presented with complex, and sometimes contradictory, information
An effective communicator, capable of determining how best to reach different audiences and executing communications based on that understanding
Work in concert with the group leader and the Innovation team to provide support to research projects at the Center
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 scientists, bioinformatics scientists, and software engineers at the Center in the use of bioinformatics software tools and databases
Be responsible for conducting independent analysis and interpretation of genomic and other multi-omic data generated by the group
Help facilitate collaborations and research opportunities with scientists and clinicians at MSK
Master’s degree with 4-7 years of experience in biological science, physics, applied mathematics, computer science, bioinformatics, or a related field. PhD degree with 2-4 years of experience is preferred.
Solid programming skills and proficiency with scientific computing software (Matlab, R) and scripting languages – a thorough understanding and experience in statistics is strongly preferred
Experience in statistical genetics/genomics and a familiarity with next-generation sequence data and analysis tools – extensive research experience in the biological sciences is strongly preferred
To be able to work both independently and collaboratively and make necessary connections with experts in various biological and clinical groups
To be highly motivated with excellent oral and written English communication skills – experience in delivering oral scientific presentations and writing scientific articles is 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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CategoryAllied Health - Biomedical Engineering