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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 27th 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 2016, as well as Glassdoor’s annual Employees’ Choice Awards 2016. We’re treating cancer, one patient at a time. Join us and make a difference every day.
The Wolchok lab at Memorial Sloan Kettering Cancer Center and the Parker Institute for Cancer Immunotherapy seeks a collaborative senior bioinformatician to lead the analysis of high-throughput sequencing data from mouse and human tumors, including WES, WGS, and RNA-seq. Must be willing to learn, apply, integrate, and develop new statistical models and computational algorithms, as well as manage and direct a small group of junior bioinformaticians in the lab. Ability to work in an interdisciplinary environment with clinicians and biologists required, as is an interest in investigating clinically relevant interactions between cancer and the immune system.
PhD in Bioinformatics/Computational Biology
Expertise in tumor exome analysis:
- Experience performing mutation calling using common variant callers (Strelka, Mutect Varscan, SomaticSniper) and sequence analysis packages (picard, GATK) and similar programs in a cluster or cloud-based setting.
- Ability to interpret tumor exome mutation calls in a biological and/or clinically relevant manner
- Familiarity with HLA typing from exome sequence (e.g. seq2HLA, Optitype) and neoantigen prediction algorithms, with opportunity to learn from other bioinformaticians in the group if experience in this area is limited.
Knowledge of biological data analysis:
- Familiarity with extracting data and performing analyses from common databases in the context of immunology (e.g. TCGA, ICGC, IEDB, cBio).
- Facility with RNAseq differential expression analysis
- Ability to communicate results and create publication quality figures to clinicians and collaborators through multiple means (e.g. Jupyter notebook, Tableau, Prism, ggplot2, matplotlib, cytospade etc.)
- Familiarity with biostatistical methods (including survival analysis and time series analysis) and visualization of wet lab data (e.g., flow cytometry) preferred
- Minor wet lab experience and in vivo/vitro experimental design preferred.
- Programming experience in R and a separate programming language (e.g. C/C++, Python, Perl, etc.)
- Experience with the Unix environment, bash scripting and parallel computing.
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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