Computational Biologist/Data Analyst

Memorial Sloan Kettering Cancer Center
New York, Iowa, US
May 11, 2021
Jun 03, 2021
Employment Type
Full time
Salary Type
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. We're treating cancer, one patient at a time.Join us and make a difference every day.
Job Description
We are seeking aComputational Biologist/Data Analyst 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 apply computational methods 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
- Develop new methods for single-cell analysis
- Prepare Python notebooks for interactive engagement with the data
- Provide consultation, guidance and training to research scientists using SCRI tools
You have:
- Minimum of Bachelor's with core biology and computer science courses, or equivalent experience
- Analytical, reasoning, statistical, mathematical and problem-solving skills
- Excellent ability to communicate with biologists
- Familiarity with high-throughput sequencing data
- Knowledge of Python or R (preferably Python)
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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Job LocationsUSA-NY-New York
Posted Date2 months ago(4/14/2021 10:02 AM)
Requisition ID 2021-48890
Category Research - Laboratory