Memorial Sloan-Kettering Cancer Center Senior Bioinformatics Engineer -- Immunogenomics and Precision Oncology Platform 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. 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 Immunogenomics and Precision Oncology Platform (IPOP) is a newly established program at MSK. IPOP is dedicated to developing precision immunotherapy at MSK. The program's goal is to use state-of-the-art approaches to unravel the molecular determinants of response to immunotherapy and to optimize immunotherapeutics such as immune checkpoint inhibitors and neoantigen-based vaccines using large scale analyses.
We are looking for aSenior Bioinformatics Engineerwho will be involved in the analysis of large-scale immuno-genomic datasets collected by our own group as well as those shared by our collaborators. You will work with computational and experimental biologists in a dynamic and exciting academic environment at the nexus of cancer biology, computer science, statistics and clinical research. This position requires cross-disciplinary and strong analytical skills as well as broad experience using computational methods, databases, software and hardware.
Advanced programmer with strong quantitative background and the ability to be able to perform and present results of complicated analysis.
Strong communicator and the ability to present results of analysis to a broad audience of physicians, scientists, and research staff.
Able to design, development and maintenance of computational pipelines in the center. The position will also involve collaboration with industry partners on analyzing correlative data from large Phase III studies.
Play an active role as an investigator in exciting immuno-oncology research projects
Present results of analysis to collaborating scientists, physicians, and colleagues.
Develop, maintain, and expand functionality of existing and soon to be developed bioinformatics software tools
Install necessary and relevant bioinformatics software
Stay current with general bioinformatics tools and installs/runs tools as needed (genomics, proteomics, other bioinformatics tools)
Bachelors in a quantitative field of study.
Masters or PhD in Computer Science, Bioinformatics or related quantitative discipline.
Parallel/High-performance computing experience
Advanced skills in Perl, Python, and/or R
Experience in software engineering tools and methods
Strong knowledge of bioinformatics algorithms, statistics, and software tools
Prior experience with analyzing “omics” data (especially proteomics, but also next gen sequencing, RNA-Seq, ChIP-Seq, etc.)
Experience in Bioinformatics software development
Prior work with next-generation sequencing analysis toolkits (PICARD, GATK, samtools, etc.)
C/C++, Java programming
Relational databases (e.g. Oracle, MySQL) and/or modern noSQL database systems.
Prior experience with statistical analysis
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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CategoryResearch - Laboratory