Computational and Algorithmic Scientist - Biostatistics Service

About Us:

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.

Exciting Opportunity at MSK:At Memorial Sloan Kettering Cancer Center (MSK), data drives discovery—and discovery saves lives. We are seeking adedicated and highly skilled Computational and Algorithmic Scientistto design, develop, and sustain algorithms, software systems, and analytical pipelines that power cutting-edge cancer genomics, medical imaging, and EHR-based research.

In this role, you will work closely with Biostatistics faculty and scientific teams whose research directly informs clinical decision-making and improves patient outcomes.

Together, we are building robust, production-quality computational systems that enable advanced analysis of complex biomedical datasets. This role is ideal for someone who thrives at the intersection ofstatistical modeling, machine learning, and scalable software systems, and enjoys translating complex scientific questions into reliable, maintainable, and reproducible solutions

Role Overview:

• Design, implement, and maintainalgorithms, software systems, and data pipelinessupporting cancer genomics, medical imaging, and clinical data
• Collaborate with interdisciplinary teams to translateresearch and analytical questionsinto production-quality computational solutions
• Develop tools and services fordata ingestion, validation, transformation, storage, and access, ensuring performance and data integrity
• Applystatistical and machine learning methodsto large-scale biomedical datasets
• Leverage modern computing approaches, includingparallel processing, GPU acceleration, and distributed systems, where appropriate
• Implement best practices in software engineering, includingversion control, testing, and documentation
• Optimize systems forperformance, scalability, and reliability
• Communicate technical designs and trade-offs clearly to both technical and scientific collaborators
• Contribute to shared libraries, internal platforms, and long-term architectural direction

Key Qualifications:

• PhD preferred, orMaster’s degree with 2+ years of relevant experiencein computational science, data science, engineering, or a related field

• Experience applyingstatistical modeling and/or machine learning methodsto genomics, imaging, or clinical data
• Experience inbiotech, life sciences, or healthcare data environments
• Proficiency in one or more programming languages commonly used in data-intensive systems (e.g.,Python, R)
• Familiarity withdata storage and management systems, including SQL/NoSQL databases, object storage, data lakes, and data warehouses
• Familiarity with common genomics and imaging data formats (e.g.,BAM, VCF, DICOM, OME-TIFF)
• Exposure toscalable computing environments, such as cloud platforms, HPC systems, or distributed computing frameworks

Core Skills:

• Strongstatistical thinking and analytical reasoning
• Experience buildingreliable, scalable computational systemsfor scientific applications
• Solidsoftware engineering practiceswith emphasis on code quality, testing, and maintainability
• Ability to operate effectively inmultidisciplinary research environments
• Interest in solving complex, real-world scientific problems
• Commitment toreproducibility and robust research computing practices

Additional Information:

• Schedule: Monday - Friday, 37.5 hrs., onsite
• Location: 633 Third Avenue, NYC
• Reporting to: Biostatistics Service Leader

Helpful Links:

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Closing:

At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.

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.

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