Computational Biologist - Single Cell Genomics

Company Overview

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe.

Job details

Exciting Opportunity at MSK: We are seeking an individual with a creative and analytical mind to join Sloan Kettering Institute’s Single-cell Analytics and Innovation Lab (SAIL). The SAIL team accelerates biomedical discovery through the application of pioneering algorithms to single-cell genomics and spatial transcriptomics datasets collected from patients, advanced mouse and organoid models of cancer, and developmental systems.

In this role, you will implement and improve computational pipelines and methods that can be applied to groundbreaking data being generated at SAIL. This data is used to explore diverse subjects, including questions about tumor heterogeneity, drug resistance, tumor stem cells, mechanism of immunotherapy, the emergence of metastasis and the tumor-immune environment. SAIL bioinformatics is embedded in the group of Dr. Dana Pe’er, a leader in single-cell data analysis, providing mentorship and a highly stimulating intellectual environment for analytical methods development.

You should have a background in statistics, machine learning or computer science; any experience with genomics data is a plus, and you should be thrilled to learn how to adapt, develop and 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 profiling of patient samples, with the goal of improving immunotherapy and precision medicine. Apply today if you are eager to learn and want to make an impact!

Role Overview

• Implement, apply, and evaluate methods to process, normalize, organize, and visualize single-cell sequencing or spatial transcriptomics data
• Help to improve software pipelines and computational infrastructure at SAIL
• Prepare Python notebooks for interactive engagement with the data
• Provide initial analysis and biological interpretation of data
• Closely collaborate with research scientists, providing consultation, mentorship, and training on SAIL tools
  
  

Key Qualifications

• 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
• Prefer experience with processing genomic data from sequencing technologies
• Knowledge of Python or R (preferably Python)
  
  

Core Skills

• Time management
• Attention to detail
• Conveying technical and statistical information clearly
• Working with leaders, team members, and collaborators effectively to achieve project goals.
  
  

Additional Information

• Location: 417 E. 68th Street, NYC (Zuckerman)
• Schedule: Onsite
• Reporting to: Manager
  
  

Pay Range: $60,000.00-$93,100.00

Helpful Links

• MSK Compensation Philosophy
• Review Our Greats Benefits Offerings
  
  

Application Process

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Step 1

Complete an Online Application

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Step 2

Interview Process

• 03
  
  

Step 3

Provide References

• 04
  
  

Step 4

Extension of Job Offer

• 05
  
  

Step 5

Onboarding

• 06
  
  

Step 6

New Employee Orientation