Location: New York, NY
Cap-Exempt H-1B Position — No lottery required
Department: Informatics & Information Technology Location: New York, NY Salary: 124,000.00 - 204,700.00 USD Annual ##### **Job details** **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, **data drives discovery—and discovery saves lives**. We are seeking a dedicated and self-driven highly skilled**So****ftware Engineer** to help us design, build, and sustain software systems and analytical pipelines that power groundbreaking cancer genomics, medical imaging, and EHR‑based research. In this role, we 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 software** that enables advanced analysis of some of the most complex and impactful biomedical datasets in cancer research. This role is ideal for someone who thrives at the intersection of rigorous engineering and scientific discovery—someone who enjoys turning challenging analytical questions into reliable, maintainable, and reproducible software solutions. Through this work, we shape the computational foundation that supports MSK’s mission to transform cancer care through research. **Role Overview:** - Design, implement, and maintain software systems and data pipelines supporting real‑world