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Computational Biologist - Single Cell Genomics

Pay Range

$60,000.00-$93,100.00

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 Description

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 

#LI-onsite

Pay Range: $60,000.00-$93,100.00  

Helpful Links:  

  • MSK Compensation Philosophy 
  • Review Our Greats Benefits Offerings 

 

 

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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Average salary estimate

$76550 / YEARLY (est.)
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$60000K
$93100K

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What You Should Know About Computational Biologist - Single Cell Genomics, Memorial Sloan Kettering Cancer Center

Welcome to Memorial Sloan Kettering Cancer Center (MSK), where we're committed to wiping out cancer for good! We're on the lookout for a passionate Computational Biologist - Single Cell Genomics to join our innovative Single-cell Analytics and Innovation Lab (SAIL) here in New York City. In this role, you'll be diving into the exciting world of single-cell genomics and spatial transcriptomics, leveraging pioneering algorithms to make sense of complex datasets from patients and cancer models. Your analytical mindset will shine as you contribute to improving computational pipelines and create engaging visualizations that help researchers, clinicians, and data scientists interpret crucial data related to tumor heterogeneity, drug resistance, immunotherapy, and the tumor-immune environment. If you have a strong foundation in statistics, machine learning, or computer science, and you're eager to apply your skills in a meaningful way, this position is perfect for you! You'll collaborate closely with leading scientists, including Dr. Dana Pe’er, gaining mentorship while driving forward our mission of advancing cancer research. If you're ready to tackle big biological challenges and improve patient outcomes with your expertise, we want to hear from you! Apply today and be part of a vibrant team dedicated to making a significant impact in cancer research!

Frequently Asked Questions (FAQs) for Computational Biologist - Single Cell Genomics Role at Memorial Sloan Kettering Cancer Center
What responsibilities will a Computational Biologist - Single Cell Genomics at MSK have?

As a Computational Biologist - Single Cell Genomics at Memorial Sloan Kettering Cancer Center, you'll be responsible for implementing and enhancing computational pipelines for single-cell genomics and spatial transcriptomics data. This includes normalizing, organizing, and visualizing complex datasets, as well as preparing Python notebooks for data engagement. Collaboration with research scientists to provide analysis and biological interpretation is also a key part of the role.

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What qualifications are necessary for the Computational Biologist - Single Cell Genomics role at MSK?

To qualify for the Computational Biologist - Single Cell Genomics position at Memorial Sloan Kettering Cancer Center, candidates should have at least a Bachelor’s degree with coursework in biology and computer science or equivalent experience. Strong analytical and problem-solving skills are critical, as is familiarity with high-throughput sequencing data. Experience in Python or R, preferably Python, is also essential.

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What skills are essential for a Computational Biologist - Single Cell Genomics at MSK?

Essential skills for the Computational Biologist - Single Cell Genomics role at Memorial Sloan Kettering include time management, attention to detail, and the ability to communicate technical information clearly to biologists. Experience with processing genomic data is a plus, along with strong analytical and reasoning skills.

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What is the work environment like for a Computational Biologist at MSK?

Working at Memorial Sloan Kettering as a Computational Biologist - Single Cell Genomics offers a dynamic and collaborative environment. You will be part of a team at the forefront of cancer research, with ample opportunities to learn and develop your skills while contributing to groundbreaking work in the field.

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What is the salary range for a Computational Biologist - Single Cell Genomics at MSK?

The pay range for a Computational Biologist - Single Cell Genomics position at Memorial Sloan Kettering Cancer Center is between $60,000.00 and $93,100.00, depending on experience and qualifications. This reflects MSK's commitment to offering competitive compensation to attract top talent in the field.

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Common Interview Questions for Computational Biologist - Single Cell Genomics
Can you describe your experience with single-cell sequencing technologies?

In answering this question, highlight specific projects or experiences where you've worked with single-cell sequencing. Discuss the techniques you used, the challenges you faced, and how you overcame them, demonstrating your hands-on experience and analytical capabilities.

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How do you approach developing algorithms for data analysis?

When responding to this question, detail your methodical approach to developing algorithms, including steps like defining the problem, gathering data, testing and refining algorithms, and how you ensure they meet research needs. Providing an example of a successful algorithm you've created can also be beneficial.

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What statistical methods do you find most useful in bioinformatics?

Discuss the statistical methods you are most familiar with, such as regression analysis, clustering, or machine learning techniques, and explain how they've helped you derive meaningful insights from biological data in prior projects.

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How do you communicate complex data findings to non-technical stakeholders?

Focus on your ability to translate complex data findings into clear, actionable insights. Mention strategies like using visualizations or relatable metaphors and how you’ve successfully presented findings to team members without technical backgrounds.

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Can you provide an example of a project where you improved a computational pipeline?

Share a specific example of a project where you identified inefficiencies in a computational pipeline, describe the changes you implemented, and quantify the improvements in processing speed or data interpretation accuracy to illustrate your impact.

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What do you understand about tumor microenvironments, and why are they important?

Discuss the role of tumor microenvironments in cancer progression and treatment responses. Highlight your understanding of immunology, cell signaling, and how these environments affect therapeutic outcomes, which can show your familiarity with relevant multidisciplinary concepts.

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How do you prioritize tasks when working on multiple projects?

Detail your strategies for task prioritization, such as using project management tools, setting deadlines, and maintaining clear communication with team members to ensure all projects are completed efficiently and effectively.

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What tools or software do you utilize for data visualization?

Specify the tools you are proficient in, such as Python’s Matplotlib, Seaborn, or tools like Tableau. Explain how you use these tools to create insightful visual representations of data, making sure to relate it back to your experience in bioinformatics.

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Can you explain a challenging problem you've solved using bioinformatics methods?

Describe a specific challenging problem you've faced, your approach to solving it with bioinformatics methods, the results you achieved, and the significance of those results in a research context. This showcases your critical thinking and problem-solving skills.

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Why do you want to work at Memorial Sloan Kettering as a Computational Biologist?

Convey your passion for cancer research and the mission of MSK. Discuss how the role aligns with your career goals and values, and emphasize your enthusiasm for contributing to meaningful research that can improve patient outcomes.

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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 do...

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Full-time, on-site
DATE POSTED
March 30, 2025

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