Machine Learning Scientist - Digital Pathology and Medicine
About The Position
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 pursueâ¯our missionâ¯at MSK and around the globe. Exciting Opportunity at MSK: Machine Learning Scientist - Digital Pathology and Medicine Machine Learning Scientists at MSK combine advanced statistical methods, deep learning, and high-performance computing to extract insights from complex datasets-particularly in medical imaging and computational pathology. This role is ideal for independent, research-driven professionals who thrive on innovation, cross-functional collaboration, and advancing the boundaries of machine learning in healthcare.
Requirements
- PhD or equivalent experience in Computer Science, Machine Learning, Computational Biology, or related field.
- 3+ years applying deep learning to real-world problems, ideally in medical imaging or healthcare AI.
- Proficient in PyTorch and distributed/multinode training environments.
- Proven experience with model deployment in high-stakes environments.
- Knowledge of medical imaging, histopathology, and genomics preferred.
- Strong programming expertise in Python, bash, and CUDA.
- Experience with cloud platforms (AWS, GCP), HPC environments (e.g., SLURM), and infrastructure as code (Terraform).
- Familiarity with containerization tools like Docker and Kubernetes.
- Ability to balance academic rigor with practical deployment in healthcare systems.
Responsibilities
- Design and deploy deep learning and transformer-based models tailored for pathology applications.
- Fine-tune large-scale AI and foundation models for clinical use cases.
- Optimize self-supervised and few-shot learning approaches for digital pathology.
- Translate research into production-ready AI tools used in healthcare environments.
- Partner closely with clinicians and computational pathologists to ensure clinical integration.
- Lead and contribute to high-impact publications in top AI and medical journals.
- Mentor junior researchers, engineers, and postdoctoral fellows on technical direction and execution.
- Support cross-functional initiatives to align AI development with healthcare delivery.
- Drive the adoption of scalable AI solutions that meet clinical performance and reliability standards.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Hospitals
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
