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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.

Role Overview

• 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.

Key Qualifications

• 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.

Core Skills

• 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.

Additional Information:

• Reporting to Physician Investigator, SKI

• Schedule: 9:00 AM - 5:00 PM EST, Monday - Friday

• Location: Hybrid; 99% remote with ability to come on site 1-2 times a year