Are you passionate about working with a growing team of research, clinical and computational investigators developing cutting-edge diagnostic technologies in cancer genomics?
Then join us here at MSK, where we can provide you with the chance to make a difference with your career.
The Cell-Free DNA (cfDNA) Informatics Team in the MSK Center for Molecular Oncology (CMO) is searching for a hardworking motivated Computational Biologist to build workflows, evaluate tools and analyze circulating tumor DNA sequencing data.
We are looking for a Computational Biologist to work closely with members of the CMO Innovation lab, Molecular Diagnostics Service, and other CMO teams and research labs. You will build workflows and perform analysis of data generated by the MSK-ACCESS assay, a comprehensive liquid biopsy test that offers noninvasive cancer genomic profiling and disease monitoring. It involves the deep sequencing of 129 key cancer-associated genes selected from MSKs solid tumor genomic-profiling assay, MSK-IMPACT. MSK-ACCESS is designed to detect genetic alterations in cfDNA specimens such as blood and other body fluids.
Process and analyze data from high-throughput next-generation sequencing
Design, develop, and operate software tools and databases as part of bioinformatics data processing and analysis system
Be responsible for program design, coding, testing, debugging, and documentation
Evaluate results and diagnose issues with new analyses
Supervise and evaluate new developments in the field of computational biology and bioinformatics in order to apply these methods to data analyzed within the Center
Collaborate with clinical and translational researchers, as well as other bioinformatics scientists and software engineers, at the Center
Train researchers in the use of computational and bioinformatics tools and interpretation of results, and develop training modules
Intrinsically motivated by a desire to perform analyses and develop software that will advance science and make a positive societal impact
Passionate about datasets and the opportunity to look at data in new ways
Capable of building strong customer relationships and delivering customer-centric solutions
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 information, dynamic priorities, and multiple partners
Consistently achieving results, even under tough circumstances
Adept at planning and prioritizing work to meet commitments aligned with organizational needs
Resilient in recovering from setbacks and skilled at finding detours around obstacles
Experience working with large numbers of samples and modern workflow management frameworks (Snakemake, Cromwell/CWL/WDL, NextFlow, etc) running on either HPC systems (e.g. using LSF) or on cloud services (e.g. AWS or GPC)
Proficiency with scientific computing software (Python, R) and scripting languages
Research experience in statistical genetics/genomics strongly preferred and familiarity with next-generation sequence data and analysis tools required
Familiarity with databases (SQL or NoSQL), git, svn, or another version control system
Excellent oral and written English communication skills; experience in delivering oral scientific presentations and writing scientific articles strongly preferred.
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.