[Hiring] Machine Learning Scientist - Digital Pathology and Medicine @Memorial Sloan Kettering Cancer Center

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role DescriptionThis role involves combining advanced statistical methods, deep learning, and high-performance computing to extract insights from complex datasets—particularly in medical imaging and computational pathology. • 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. 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.Requirements• 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. Benefits• Compensation Philosophy• Pay Range: $148,100.00 - $244,400.00• FSLA Status: Exempt Apply tot his job