Software Engineer II - Biostatistics Service

Memorial Sloan Kettering Cancer Center•New York, NY

21h•Onsite

About The Position

At Memorial Sloan Kettering Cancer Center, data drives discovery—and discovery saves lives. We are seeking a dedicated and self-driven Software 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.

Requirements

PhD in a computational science discipline or master’s degree with 2+ years of relevant experience
Experience working with statistical and machine learning methods applied to genomics and/or imaging data
Familiarity with data storage and management systems, including SQL and NoSQL databases, object storage, data lakes, and data warehouses
Familiarity with common genomics and imaging data formats and standards (e.g., BAM, VCF, DICOM, OME‑TIFF)
Proficiency in one or more programming languages commonly used in data‑intensive systems (e.g., Python, R)
Strong statistical thinking and analytical reasoning skills
Strong software engineering foundations with an emphasis on code quality, testing, and maintainability
Passion for building reliable, scalable, and well‑engineered software for scientific and clinical applications
Ability to work effectively in highly collaborative, multidisciplinary environments
Comfort operating in a fast‑paced, research‑driven setting and navigating complex technical challenges
Commitment to reproducibility, robustness, and engineering best practices
Resilience and creativity in addressing technical setbacks and complex problem spaces

Responsibilities

Design, implement, and maintain software systems and data pipelines supporting real‑world cancer genomics, medical imaging, and EHR data
Collaborate with interdisciplinary teams to translate analytical and research requirements into reliable, production-quality software
Develop tools and services for data ingestion, validation, transformation, storage, and access, ensuring performance and data integrity
Implement and carry out standard methodologies in software engineering, including version control, testing, documentation.
Optimize systems for performance, scalability, and reliability across large and heterogeneous datasets
Communicate technical designs, trade-offs, and implementation details clearly to both technical and scientific collaborators
Contribute to open-source or internal software libraries, platform documentation, and long-term architectural planning

Benefits

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.

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