[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 Description This 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