Computational Biologist/Data Analyst (Single-Cell Genomics)

Job Locations USA-NY-New York
Posted Date 2 weeks ago(5/21/2020 8:50 PM)
Requisition ID
2020-40105
Category
Research - Laboratory

Company Overview

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.

Job Description

We are seeking an individual with a creative and analytical mind to join Sloan Kettering Institute’s Single Cell Research Initiative (SCRI). The SCRI team accelerates biomedical discovery through the application of state-of-the-art algorithms to single-cell genomics datasets collected from patient data and from advanced mouse and organoid models of cancer. The individual will help to develop computational methods and apply them to the flood of cutting-edge data being generated at SCRI to explore questions of tumor heterogeneity, drug-resistance, tumor stem-cells, mechanism of immunotherapy, the emergence of metastasis and the tumor-immune environment. SCRI bioinformatics is embedded in the group of Dr. Dana Pe’er, a leader in single-cell data analysis, providing guidance and a highly stimulating intellectual environment for analytical methods development.

 

You should have a background in human biology with a minimum of some computer science and statistics courses, and you should be excited to learn how to apply sophisticated algorithms to big biological data at one of the top cancer research institutes in the world. Your implementation of processing and visualization algorithms will allow data scientists, biologists and clinicians to interact with and interpret the data. A key focus is the single-cell profiling of patient samples, with the goal of improving immunotherapy and precision medicine. Join us if you are eager to learn and want to make an impact!

 

You will:

  • Implement, apply, and evaluate methods to process, normalize, organize and visualize single-cell sequencing data.
  • Provide initial analysis and biological interpretation of data
  • Prepare Python notebooks for interactive engagement with the data
  • Provide consultation, guidance and training to research scientists using SCRI tools

 

You have: 

  • Bachelor’s or Master’s degree with core biology and computer science courses
  • Analytical, reasoning, statistical, mathematical and problem-solving skills
  • Excellent written and verbal communication skills with biologists
  • Knowledge of programming language, preferably Python

 Preferred Qualifications:

  • Familiarity with high-throughput sequencing data
  • Programming experience (data analysis pipelines, high-performance computing)

*Flexible on start date: any time during summer 2020 

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Closing

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.  

 

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

 

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