Memorial Sloan Kettering Cancer Center · 6 days ago
Bioinformatics Software Engineer
Memorial Sloan Kettering Cancer Center (MSK) is dedicated to ending cancer for life through innovative research and technology. They are seeking a Bioinformatics Software Engineer to develop informatics solutions that enhance patient outcomes by collaborating with a multidisciplinary team and building secure, scalable systems.
EducationHealth CareHospitalLife ScienceTraining
Responsibilities
Work and collaborate with a top-notch team of software engineers, bioinformatics researchers, AI/ML teams, data scientists, system engineers, and physicians to support clinical-grade informatics infrastructure
Create and maintain technical documentation including user guides, operational run books, and standard operating procedures
Develop DevOps framework and implement standards, processes, and controls for release and deployment activities
Develop API services, data dashboards, visualizations, and cutting-edge web portals
Design and build AI/ML solutions - including large language models (LLMs), retrieval-augmented generation (RAG), deep learning, and classical ML - integrated into secure, scalable full-stack clinical applications
Qualification
Required
Bachelor's degree in computer science, or related discipline with 4 years of hands-on software engineering experience, preferably developing scientific software such as bioinformatics or biomedical informatics systems
3+ years of firsthand experience with programming languages like Python, Java, or JavaScript frameworks such as ReactJS
Experience working with relational (MySQL, Postgres, etc.), and no-SQL (MongoDB) database technologies
Experience building high-throughput and scalable RESTful APIs using Python frameworks (such as Flask, FastAPI, etc.)
Experience working with high-performance computing platforms either on-premises (LSF, Slurm, etc.) or on the cloud (especially AWS)
Experience with agile software development practices, and experience using tools such as JIRA, or Rally
Experience with deep learning frameworks (PyTorch, TensorFlow) – and libraries such as scikit-learn, numpy and transformers for model training and inference
End-to-end production AI/ML experience (LLMs, RAG), including prompt engineering, fine-tuning, vector search, model evaluation and monitoring, and MLOps within regulated clinical or PHI environments
Strong team collaboration and communication skills
Passion for learning new technologies and methodologies
Customer-centric mindset with a desire to understand clinical workflows
Resilience and creativity in problem-solving
Ability to thrive in a dynamic, fast-paced environment
Preferred
Master's with 2+ yrs. preferred
Company
Memorial Sloan Kettering Cancer Center
The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life.
H1B Sponsorship
Memorial Sloan Kettering Cancer Center has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (260)
2024 (293)
2023 (287)
2022 (314)
2021 (275)
2020 (266)
Funding
Current Stage
Late StageTotal Funding
$102.31MKey Investors
Hyundai Hope On WheelsMassMutual FoundationNational Cancer Institute
2024-08-28Grant· $0.1M
2023-07-12Grant· $0.01M
2022-09-27Grant· $0.2M
Leadership Team
Recent News
2026-01-16
2026-01-15
Genetic Engineering News
2025-12-18
Company data provided by crunchbase