Are you passionate about using technology to solve life impacting challenges? Help us change how the world treats Cancer! We can provide you with the opportunity to make a difference with your career.
The Cell-Free DNA (cfDNA) Informatics Team in the MSK Center for Molecular Oncology (CMO) is looking for a talented and self-driven Bioinformatics Engineer to perform next-generation sequencing data processing, analysis, and pipeline framework design in a dynamic and exciting academic environment at the nexus of cancer biology, computer science, statistics, and clinical research. The team develops data analysis pipelines and analytic platforms on both local high performance computing clusters and cloud-based resources to facilitate research activities and precision health initiatives. You will contribute toward the evolution of the current infrastructure design that leverages the Common Workflow Language (CWL) specification and a container-based systems approach that enable compute portability and reproducibility.
Work and collaborate with a top-notch team of researchers, software engineers and clinicians to build a platform for streamlining and automating genomic data analysis.
Implement and follow the standard methodologies in software development, code versioning, software testing and deployment and assists in unit/functional regression, and system testing.
Take part in technical discussion including but not limited to code reviews, product design, and build/release management.
Process and analyze data from high-throughput next-generation sequencing.
A software engineer committed to applying programming skills for research discovery and clinical benefit
Interested in the analysis of large genomic datasets and the development of new clinical technologies
Someone who thrives in a fast-paced, dynamic environment with changing priorities
Able to apply troubleshooting techniques to resolve complex, cross functional issues
A person who enjoys working in a team, is self-motivated, can manage multiple tasks simultaneously, and can solve problems independently
Self-directed individual with strong desire to learn and contribute to a team of technical peers.
Masters OR equivalent in computer science, bioinformatics, computational biology OR other applied science with at least 2 years of software development experience
Experience with the UNIX/Linux environment and clustered computing
Familiarity with source control systems, preferably Git.
Advanced skills in Python
Experience with SQL/NoSQL databases like MySQL or MongoDB
Hands-on expertise running bioinformatics pipelines on genomics data on-prem (LSF/SLURM) or in cloud (AWS/AZURE)
Familiar with software container technologies such as Docker and/or Singularity
Experience using CWL (Common Workflow Language)
Strong interest in enabling open, reproducible research
Strong organizational and troubleshooting abilities, attention to detail and accuracy.
Excellent written and verbal communication skills to interact with both biologists and IT professionals
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.