Computational Biologist II - CMO Innovation Lab

NY-New York, USA

Memorial Sloan Kettering Cancer Center

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Pay Range

$100,600.00-$161,000.00

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: Join the CMO Innovation Lab at MSKCC as a Computational Biologist II!

 

The CMO Innovation Lab at Memorial Sloan Kettering Cancer Center is seeking a highly motivated and skilled Computational Biologist II to join our dynamic team. Our lab is at the forefront of clinical cancer genomics, leveraging cutting-edge computational and experimental techniques to develop novel diagnostic tools. We focus on developing methods for analyzing next-generation sequencing data to identify biomarkers of cancer progression and therapeutic response. This role offers the opportunity to contribute to impactful translational research in a collaborative, interdisciplinary environment, working alongside experts in molecular oncology, bioinformatics, and clinical diagnostics.

 

Role Overview: • Interpret and review next-generation sequencing (NGS) data from patient tumor samples in order to participate in experiment design to support ongoing development efforts.• Develop, optimize, and maintain computational pipelines for processing and analyzing a variety of large-scale genomic datasets including DNA, RNA and methylation approaches.• Evaluate and benchmark emerging sequencing technologies, assays, and computational tools for clinical and research applications.• Collaborate with interdisciplinary teams including oncologists, pathologists, and data scientists to drive translational cancer research.• Design and implement bioinformatics strategies to support biomarker discovery and therapeutic target identification.• Assess and integrate third-party software tools into existing analysis workflows.• Maintain comprehensive documentation of analyses, pipelines, and results for reproducibility and regulatory compliance.• Present findings in lab meetings, collaborative discussions, and scientific forums.• Engage in continuous learning through seminars, workshops, and literature to stay current with advances in cancer genomics and computational biology.

 

Key Qualifications: • PhD in a bioinformatics- or molecular biology-related field with 4+ years of work experience.• 4+ years of experience in next-generation sequencing and cancer genetics.• Strong analytical skills with a cross-disciplinary approach.• Fluency in Python and/or R is required.

 

Core Skills: • Expertise in bioinformatics tools and techniques.• Knowledge of NGS-focused molecular biology tools and practices.• Proficiency in data analysis and interpretation.• Ability to collaborate effectively in a team-oriented environment.

 

Additional Information:• Schedule: Hybrid, 1+ days onsite• Location: 323 E. 61st Street, NYC• Reporting to: Head of CMO Innovation Lab

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Pay Range: $100,600.00-$161,000.00

 

 Helpful Links: 

  • MSK Compensation Philosophy
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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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Tags: Bioinformatics Biology Data analysis PhD Pipelines Python R Research

Perks/benefits: Career development

Region: North America
Country: United States

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