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"Machine Learning Scientist - Digital Pathology and Medicine"

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Machine Learning Scientist - Digital Pathology and Medicine

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.

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

Pay Range: $148,100.00 - $244,400.00
FLSA Status: Exempt

At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.

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