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 a dedicated and highly skilled Computational and Algorithmic Scientist to 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 of statistical modeling, machine learning, and scalable software systems , and enjoys translating complex scientific questions into reliable, maintainable, and reproducible solutions. Role Overview Design, implement, and maintain algorithms, software systems, and data pipelines supporting cancer genomics, medical imaging, and clinical data Collaborate with interdisciplinary teams to translate research and analytical questions into production‑quality computational solutions Develop tools and services for data ingestion, validation, transformation, storage, and access , ensuring performance and data integrity Apply statistical and machine learning methods to large‑scale biomedical datasets Leverage modern computing approaches, including parallel processing, GPU acceleration, and distributed systems , where appropriate Implement best practices in software engineering, including version control, testing, and documentation Optimize systems for performance, 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 , or Master’s degree with 2+ years of relevant experience in computational science, data science, engineering, or a related field Experience applying statistical modeling and/or machine learning methods to genomics, imaging, or clinical data Experience in biotech, life sciences, or healthcare data environments Proficiency in one or more programming languages commonly used in data‑intensive systems (e.g., Python, R ) Familiarity with data 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 to scalable computing environments , such as cloud platforms, HPC systems, or distributed computing frameworks Core Skills Strong statistical thinking and analytical reasoning Experience building reliable, scalable computational systems for scientific applications Solid software engineering practices with emphasis on code quality, testing, and maintainability Ability to operate effectively in multidisciplinary research environments Interest in solving complex, real‑world scientific problems Commitment to reproducibility and robust research computing practices Additional Information Schedule: Monday - Friday, 37.5 hrs., onsite Location: 633 Third Avenue, NYC Reporting to: Biostatistics Service Leader Closing Pay Range: $121,400.00 - $200,400.00 FSLA Status: Exempt 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. 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. #J-18808-Ljbffr Memorial Sloan Kettering Cancer Center